Triple

T20348803
Position Surface form Disambiguated ID Type / Status
Subject Theft: A Love Story E495951 entity
Predicate mainCharacter P1183 FINISHED
Object Michael Boone NE NERFINISHED

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: Michael Boone | Statement: [Theft: A Love Story, mainCharacter, Michael Boone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Boone
Context triple: [Theft: A Love Story, mainCharacter, Michael Boone]
  • A. Michael Boone chosen
    Michael Boone is a relatively obscure individual whose name is notably recorded as a bearer of the surname Boone.
  • B. Jason Boone
    Jason Boone is an American former professional basketball player known for his career in European leagues, particularly in Germany’s Basketball Bundesliga.
  • C. Frank Boone
    Frank Boone is a person notable enough to be recognized as a bearer of the surname Boone, though specific widely known public details about him are not clearly established.
  • D. Larry Boone
    Larry Boone is an American country music singer and songwriter known for his late-1980s recording career and for writing hits for other Nashville artists.
  • E. Brian Routh
    Brian Routh was a British performance artist and musician best known as one half of the avant-garde comedy and performance duo The Kipper Kids.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6783af5dc8190a40c3b9816cd1aef completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.