Triple

T3289209
Position Surface form Disambiguated ID Type / Status
Subject The Great Gatsby (1949 film) E69059 entity
Predicate editor P1954 FINISHED
Object Warren Low E280717 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: Warren Low | Statement: [The Great Gatsby (1949 film), editor, Warren Low]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Warren Low
Context triple: [The Great Gatsby (1949 film), editor, Warren Low]
  • A. Warren Low chosen
    Warren Low was a Hollywood film editor known for his work on numerous studio productions during the mid-20th century.
  • B. Herbert R. O'Conor
    Herbert R. O'Conor was an American Democratic politician who served as governor of Maryland and later as a U.S. senator in the mid-20th century.
  • C. Paul W. Airey
    Paul W. Airey was a United States Air Force noncommissioned officer who became a pioneering enlisted leader and the inaugural Chief Master Sergeant of the Air Force.
  • D. John L. Lumley
    John L. Lumley was a prominent American fluid dynamicist known for his pioneering contributions to the understanding and modeling of turbulence.
  • E. Francis Hughes
    Francis Hughes was a Provisional Irish Republican Army volunteer from Northern Ireland who became widely known for dying on hunger strike in the Maze Prison in 1981.
  • 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_69ad859d45748190b0742408c954b39f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb05a3e5c819082552a7a911e3230 completed March 8, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e862835881909c2f3b8f86f10742 completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.