Triple

T1245323
Position Surface form Disambiguated ID Type / Status
Subject She Believes in Me E26750 entity
Predicate producer P490 FINISHED
Object Larry Butler E213797 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: Larry Butler | Statement: [She Believes in Me, producer, Larry Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Butler
Context triple: [She Believes in Me, producer, Larry Butler]
  • A. Larry Butler chosen
    Larry Butler was an American country music producer and songwriter best known for his influential work with artists like Kenny Rogers.
  • B. Ray Cusick
    Ray Cusick was a British designer best known for creating the iconic look of the Daleks in the long-running science fiction television series Doctor Who.
  • C. Roger E. Broggie
    Roger E. Broggie is a steam locomotive at Walt Disney World Railroad named in honor of Disney Imagineer and master machinist Roger E. Broggie, who was instrumental in developing Disney’s early railroad and ride systems.
  • D. Larry Blanford
    Larry Blanford is a professional cinematographer known for his work on feature films such as the romantic comedy "Think Like a Man."
  • E. Roger D. Lapham
    Roger D. Lapham was an American shipping executive and politician who served as mayor of San Francisco in the 1940s.
  • 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_69a4948689d08190b3a4a3f388c02148 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bf6498948190b30b09d845d67ac4 completed March 1, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae6ad879108190a28e2e07a1df35a0 completed March 9, 2026, 6:38 a.m.
Created at: March 1, 2026, 7:47 p.m.