Triple
T13891462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Belushi |
E333980
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of the late American comedian and actor John Belushi, famed for his work on Saturday Night Live and in films like The Blues Brothers and Animal House.
|
E333980
|
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: John | Statement: [John Belushi, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Belushi, givenName, John]
-
A.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
B.
John
John Ross is a personal name shared by various notable individuals across history, including leaders, politicians, and public figures.
-
C.
John
John of Görlitz was a 14th-century German prince of the House of Luxembourg who held the title of Duke of Görlitz.
-
D.
John
John is the given name of John C. Sheehan, an American organic chemist renowned for achieving the first complete laboratory synthesis of penicillin.
-
E.
John
John is the first name of Jack Phillips, the British wireless operator on the RMS Titanic who died during its sinking in 1912.
- 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: John Triple: [John Belushi, givenName, John]
Generated description
John is the given name of the late American comedian and actor John Belushi, famed for his work on Saturday Night Live and in films like The Blues Brothers and Animal House.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of the late American comedian and actor John Belushi, famed for his work on Saturday Night Live and in films like The Blues Brothers and Animal House.
-
A.
John
chosen
John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
-
B.
John
John is the given name of the late Canadian actor and comedian John Candy, known for his roles in films like "Planes, Trains and Automobiles" and "Uncle Buck."
-
C.
John
John is the birth name of American comedian and actor Jackie Gleason, famed for his role in the classic television series "The Honeymooners."
-
D.
John
John is the first name of American comedian and actor Will Ferrell, known for his work on Saturday Night Live and numerous comedy films.
-
E.
John
John is the given name of John Witherspoon, an American actor and comedian best known for his roles in the "Friday" film series and the television show "The Wayans Bros."
- F. None of above.
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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de23a537d4819093c2bae2a244816a |
completed | April 14, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c70c41f081908b6af3f419d8468d |
completed | May 3, 2026, 10:07 p.m. |
| NEDg | Description generation | batch_69f7caf92b3c8190923f0b22e8ed7c2c |
completed | May 3, 2026, 10:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7cb846f788190a62a6dd181fa64ee |
completed | May 3, 2026, 10:26 p.m. |
Created at: April 9, 2026, 10:15 p.m.