Triple
T15032673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Warnock |
E378391
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Kevin
Kevin is the young boy protagonist from the fantasy adventure film "Time Bandits," portrayed by actor Craig Warnock.
|
E378390
|
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: Kevin | Statement: [Craig Warnock, playedCharacter, Kevin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Context triple: [Craig Warnock, playedCharacter, Kevin]
-
A.
John
John is the given name of John T. Ford, the 19th-century American theater manager best known for owning Ford's Theatre, where President Abraham Lincoln was assassinated.
-
B.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
C.
John
John Montagu Douglas Scott, 7th Duke of Buccleuch, was a prominent British aristocrat and landowner who held one of Scotland’s largest and most influential ducal titles in the late 19th and early 20th centuries.
-
D.
John
John is the given name of John Gorton, who served as the 19th Prime Minister of Australia from 1968 to 1971.
-
E.
John
John is the given name of American cinematographer John F. Seitz, known for his influential work in early Hollywood cinema.
- 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: Kevin Triple: [Craig Warnock, playedCharacter, Kevin]
Generated description
Kevin is the young boy protagonist from the fantasy adventure film "Time Bandits," portrayed by actor Craig Warnock.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kevin Target entity description: Kevin is the young boy protagonist from the fantasy adventure film "Time Bandits," portrayed by actor Craig Warnock.
-
A.
Kevin
chosen
Kevin is the young boy protagonist of the 1981 fantasy adventure film "Time Bandits," who joins a group of time-traveling dwarfs on a series of historical escapades.
-
B.
Kevin
Kevin is a recurring character in the animated series "Ed, Edd n Eddy," known as the neighborhood jock and frequent antagonist to the Eds.
-
C.
Kevin
Kevin is a character from the sitcom "Everybody Loves Raymond," known as one of Ray Barone’s laid-back, humorous friends.
-
D.
Kevin
Kevin is the large, colorful, flightless tropical bird from Pixar's animated film "Up," known for her quirky behavior and bond with Carl and Russell.
-
E.
Kevin
Kevin is the given first name of American actor and former professional athlete Chuck Connors.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e3a7c8819081f26c2435c1bcb2 |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9ddb46888190b1d2fe2992fc120b |
completed | May 9, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fe9efce5dc8190909b891c476d5291 |
completed | May 9, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fea2bd5d2c8190b26d2393cd8abb3e |
completed | May 9, 2026, 2:58 a.m. |
Created at: April 10, 2026, 2:59 a.m.