Triple
T3158500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "Make 'Em Laugh" musical number |
E66046
|
entity |
| Predicate | influencedByClaim |
P46694
|
FINISHED |
| Object |
Cole Porter song "Be a Clown"
"Be a Clown" is a popular 1946 Cole Porter show tune, best known from the film *The Pirate*, that celebrates the carefree, comic life of a clown.
|
E332041
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Cole Porter song "Be a Clown" | Statement: ["Make 'Em Laugh" musical number, influencedByClaim, Cole Porter song "Be a Clown"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cole Porter song "Be a Clown" Context triple: ["Make 'Em Laugh" musical number, influencedByClaim, Cole Porter song "Be a Clown"]
-
A.
song "Three Coins in the Fountain"
"Three Coins in the Fountain" is a popular 1954 song, introduced in the film of the same name, that romanticizes the tradition of tossing coins into Rome’s Trevi Fountain for luck in love.
-
B.
"Make 'Em Laugh" musical number
"Make 'Em Laugh" is a high-energy comic musical number from the film Singin' in the Rain, celebrated for Donald O'Connor's acrobatic slapstick performance and inventive physical comedy.
-
C.
song "Santa Claus Is Comin' to Town"
"Santa Claus Is Comin' to Town" is a classic American Christmas song, first recorded in the 1930s, that has become a holiday standard covered by countless artists.
-
D.
song "A Nightingale Sang in Berkeley Square"
"A Nightingale Sang in Berkeley Square" is a popular romantic song from 1939 that has become a jazz and traditional pop standard, celebrated for its nostalgic evocation of London’s West End.
-
E.
Frank Sinatra Has a Cold
"Frank Sinatra Has a Cold" is a landmark 1966 Esquire magazine profile by Gay Talese, celebrated as a defining example of New Journalism for its cinematic detail and narrative style.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cole Porter song "Be a Clown" Triple: ["Make 'Em Laugh" musical number, influencedByClaim, Cole Porter song "Be a Clown"]
Generated description
"Be a Clown" is a popular 1946 Cole Porter show tune, best known from the film *The Pirate*, that celebrates the carefree, comic life of a clown.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cole Porter song "Be a Clown" Target entity description: "Be a Clown" is a popular 1946 Cole Porter show tune, best known from the film *The Pirate*, that celebrates the carefree, comic life of a clown.
-
A.
song "Three Coins in the Fountain"
"Three Coins in the Fountain" is a popular 1954 song, introduced in the film of the same name, that romanticizes the tradition of tossing coins into Rome’s Trevi Fountain for luck in love.
-
B.
"Make 'Em Laugh" musical number
"Make 'Em Laugh" is a high-energy comic musical number from the film Singin' in the Rain, celebrated for Donald O'Connor's acrobatic slapstick performance and inventive physical comedy.
-
C.
song "Santa Claus Is Comin' to Town"
"Santa Claus Is Comin' to Town" is a classic American Christmas song, first recorded in the 1930s, that has become a holiday standard covered by countless artists.
-
D.
song "A Nightingale Sang in Berkeley Square"
"A Nightingale Sang in Berkeley Square" is a popular romantic song from 1939 that has become a jazz and traditional pop standard, celebrated for its nostalgic evocation of London’s West End.
-
E.
Frank Sinatra Has a Cold
"Frank Sinatra Has a Cold" is a landmark 1966 Esquire magazine profile by Gay Talese, celebrated as a defining example of New Journalism for its cinematic detail and narrative style.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedByClaim Context triple: ["Make 'Em Laugh" musical number, influencedByClaim, Cole Porter song "Be a Clown"]
-
A.
influencedByCurrent
Indicates that something’s state, behavior, or outcome is affected or determined by the current conditions, context, or situation.
-
B.
believedBy
Indicates that a particular proposition, statement, or entity is held to be true or accepted as real by a specified believer.
-
C.
influenced
Indicates that one entity has affected, shaped, or altered another entity’s state, behavior, or characteristics.
-
D.
influencedDiscussionOf
Indicates that one entity had an effect on the way another entity was discussed, framed, or debated.
-
E.
alsoClaimedBy
Indicates that the same item, statement, or resource is asserted or claimed by an additional party besides the primary one.
- F. None of above. chosen
Provenance (7 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5ed82a08190a1bdcf18ee593c79 |
completed | March 8, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2250a682c8190b01e949f27d6932e |
completed | March 12, 2026, 2:29 a.m. |
| NEDg | Description generation | batch_69b22598f9e48190a3d63a3416c95bd9 |
completed | March 12, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b225f0e0b0819096f8b5f7e7ddd8c3 |
completed | March 12, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69ad9dfbf0348190952a6bca8fc5fed1 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada1e4f7288190a80a1672e458132d |
completed | March 8, 2026, 4:20 p.m. |
Created at: March 8, 2026, 3:05 p.m.