Triple

T1881925
Position Surface form Disambiguated ID Type / Status
Subject Joey Luft E39870 entity
Predicate hasRelative P367 FINISHED
Object Mark Herron E102022 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: Mark Herron | Statement: [Joey Luft, hasRelative, Mark Herron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Herron
Context triple: [Joey Luft, hasRelative, Mark Herron]
  • A. Mark Herron chosen
    Mark Herron was an American actor best known for being the fourth husband of legendary entertainer Judy Garland.
  • B. Matt Hulett
    Matt Hulett is an American technology and business executive known for leading and scaling multiple software and digital media companies.
  • C. Jeff Henley
    Jeff Henley is an American business executive best known for his long tenure as Oracle Corporation’s chief financial officer and later chairman of the board.
  • D. Jack Hildyard
    Jack Hildyard was a British cinematographer renowned for his work on classic films, including the Academy Award-winning "The Bridge on the River Kwai."
  • E. Gavin Millar
    Gavin Millar was a Scottish film and television director, critic, and producer known for his work on British dramas and literary adaptations.
  • 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_69a88633e4fc8190b7eb40463e048ec5 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0fb95b48190af5286662c8b9734 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1f6cb97c8190bf6e8dbdcae3aabd completed March 9, 2026, 7:28 p.m.
Created at: March 4, 2026, 7:34 p.m.