Triple
T14103074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WC |
E339430
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object |
"Just Clownin'"
"Just Clownin'" is a hip hop track by rapper WC known for its laid-back West Coast vibe and streetwise lyricism.
|
E1080701
|
NE FINISHED |
How this triple was built (4 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: "Just Clownin'" | Statement: [WC, notableSong, "Just Clownin'"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Just Clownin'" Context triple: [WC, notableSong, "Just Clownin'"]
-
A.
"Clown"
"Clown" is a wordless children's picture book by Quentin Blake that follows a discarded toy clown who comes to life and searches for a new home.
-
B.
Laugh, Clown, Laugh
Laugh, Clown, Laugh is a 1928 silent drama film starring Lon Chaney as a tragic circus clown torn between love and duty.
-
C.
Be a Clown
"Be a Clown" is a popular song by Cole Porter, introduced in the 1948 MGM musical film "The Pirate" and later becoming a well-known standard.
-
D.
Make 'Em Laugh
"Make 'Em Laugh" is a high-energy comic musical number from the film "Singin' in the Rain," famous for Donald O'Connor's acrobatic slapstick performance.
-
E.
The Laugh’s on Me
"The Laugh’s on Me" is a humorous book by American publisher and wit Bennett Cerf, featuring his anecdotes, jokes, and reflections from the world of publishing and entertainment.
- 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: "Just Clownin'" Triple: [WC, notableSong, "Just Clownin'"]
Generated description
"Just Clownin'" is a hip hop track by rapper WC known for its laid-back West Coast vibe and streetwise lyricism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: "Just Clownin'" Target entity description: "Just Clownin'" is a hip hop track by rapper WC known for its laid-back West Coast vibe and streetwise lyricism.
-
A.
"Clown"
"Clown" is a wordless children's picture book by Quentin Blake that follows a discarded toy clown who comes to life and searches for a new home.
-
B.
Laugh, Clown, Laugh
Laugh, Clown, Laugh is a 1928 silent drama film starring Lon Chaney as a tragic circus clown torn between love and duty.
-
C.
Be a Clown
"Be a Clown" is a popular song by Cole Porter, introduced in the 1948 MGM musical film "The Pirate" and later becoming a well-known standard.
-
D.
Make 'Em Laugh
"Make 'Em Laugh" is a high-energy comic musical number from the film "Singin' in the Rain," famous for Donald O'Connor's acrobatic slapstick performance.
-
E.
The Laugh’s on Me
"The Laugh’s on Me" is a humorous book by American publisher and wit Bennett Cerf, featuring his anecdotes, jokes, and reflections from the world of publishing and entertainment.
- F. None of above. chosen
Provenance (5 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5fbbf0b08190ba1ea3657d6db005 |
completed | April 14, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0b2ade08190a56e9ecf659f83b9 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd854824c8190b71001a8c67ad229 |
completed | May 7, 2026, 6:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd91c3aac8190a569c6818cf1dabd |
completed | May 7, 2026, 6:25 p.m. |
Created at: April 9, 2026, 10:22 p.m.