Triple

T2116973
Position Surface form Disambiguated ID Type / Status
Subject Let It Be E43830 entity
Predicate producer P490 FINISHED
Object George Martin E43662 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: George Martin | Statement: [Let It Be, producer, George Martin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Martin
Context triple: [Let It Be, producer, George Martin]
  • A. George Martin
    George Martin was the husband of Susannah Martin, one of the women executed during the Salem witch trials in 1692.
  • B. George Martin chosen
    George Martin was a British record producer, arranger, and composer best known as the “Fifth Beatle” for his pivotal role in shaping the sound and success of The Beatles.
  • C. Richard Rodney Bennett
    Richard Rodney Bennett was a British composer and pianist renowned for his versatile work in film scores, jazz, and contemporary classical music.
  • D. John Barry
    John Barry was an Irish-born American naval officer renowned as one of the founding captains of the United States Navy during the American Revolutionary era.
  • E. John Barry
    John Barry was a renowned British film composer best known for his iconic scores for the James Bond series and numerous other major motion pictures.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb2f6f608190937889bb393fe7c6 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6aec3694819090d0e7cf02944aa3 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:43 p.m.