Triple

T1201323
Position Surface form Disambiguated ID Type / Status
Subject Captains Courageous (1937 film) E25787 entity
Predicate editor P1954 FINISHED
Object Elmo Veron E135989 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: Elmo Veron | Statement: [Captains Courageous (1937 film), editor, Elmo Veron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elmo Veron
Context triple: [Captains Courageous (1937 film), editor, Elmo Veron]
  • A. Elmo Veron chosen
    Elmo Veron was a film editor known for his work on classic Hollywood productions, including the 1938 drama "Boys Town."
  • B. Elvin
    Elvin is a masculine given name most notably associated with Hall of Fame basketball player Elvin Hayes.
  • C. Eddie Brinkman
    Eddie Brinkman was an American Major League Baseball shortstop known primarily for his strong defensive play during the 1960s and early 1970s.
  • D. Emilio
    Emilio is a masculine given name of Spanish and Italian origin, borne by various notable figures including military leaders, artists, and politicians.
  • E. Lloyd
    Lloyd is the middle name of William Lloyd Garrison, the prominent 19th-century American abolitionist and social reformer.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9fece4819089a6a2d61e61fa2e completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f3a48d48190ae5179312b52b3ee completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:46 p.m.