Triple

T13990787
Position Surface form Disambiguated ID Type / Status
Subject The Last Hurrah E336566 entity
Predicate producer P490 FINISHED
Object John Ford E17163 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: John Ford | Statement: [The Last Hurrah, producer, John Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Ford
Context triple: [The Last Hurrah, producer, John Ford]
  • A. John Ford
    John Ford was a 17th-century English dramatist best known for his dark, psychologically intense tragedies such as "’Tis Pity She’s a Whore."
  • B. John Ford
    John Ford was an American statesman who represented South Carolina as a delegate during the era of the Continental Congress in the late 18th century.
  • C. John Ford chosen
    John Ford was an influential American film director renowned for his classic Westerns and richly visual storytelling, which helped define Hollywood’s Golden Age.
  • D. Francis Ford
    Francis Ford was an American actor, director, and screenwriter of the silent film era, best known for his prolific work in early Westerns and for being the elder brother and frequent collaborator of director John Ford.
  • E. John Huston
    John Huston was an acclaimed American film director, screenwriter, and actor known for classics such as "The Maltese Falcon," "The Treasure of the Sierra Madre," and "The African Queen."
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb22e388190904fc87765176c91 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbc32593e08190a1fe8466705c7fe8 completed May 6, 2026, 10:39 p.m.
Created at: April 9, 2026, 10:18 p.m.