Triple

T13394225
Position Surface form Disambiguated ID Type / Status
Subject Joseph MacDonald E319655 entity
Predicate workedWith P398 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: [Joseph MacDonald, workedWith, John Ford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Ford
Context triple: [Joseph MacDonald, workedWith, John Ford]
  • A. 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.
  • B. 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."
  • C. 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.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dba0d892d08190b1b192b93fe3d72d completed April 12, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7306fb8348190a325a07a1ac858fd completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:34 p.m.