Triple

T9751848
Position Surface form Disambiguated ID Type / Status
Subject Andy Davis E236459 entity
Predicate owns P347 FINISHED
Object Bullseye E237530 NE FINISHED

How this triple was built (2 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: Bullseye | Statement: [Andy Davis, owns, Bullseye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bullseye
Context triple: [Andy Davis, owns, Bullseye]
  • A. Bullseye chosen
    Bullseye is Woody’s loyal toy horse in the Toy Story franchise, known for his expressive, nonverbal personality and close bond with the other toys.
  • B. Bullseye
    "Bullseye" is a thriller novel in James Patterson and Michael Ledwidge's Michael Bennett series, following the NYPD detective as he races to stop an assassination plot against the U.S. president.
  • C. Bullseye
    Bullseye is a British television game show that combines darts with general knowledge quizzes, originally popular in the 1980s and 1990s.
  • D. Bullshot
    Bullshot is a 1983 British comedy film that parodies 1930s adventure serials and detective stories, produced by HandMade Films.
  • E. The Big Shot
    "The Big Shot" is a 1942 American crime film noir starring Humphrey Bogart as a three-time loser drawn into one last ill-fated heist.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9facd5b881909f0569b23f308815 completed April 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1b020829481908456e7977c5f9adb completed April 5, 2026, 12:43 a.m.
Created at: March 30, 2026, 8:24 p.m.