Triple

T10355031
Position Surface form Disambiguated ID Type / Status
Subject Missing E243978 entity
Predicate castMember P1668 FINISHED
Object John Considine E538507 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 Considine | Statement: [Missing, castMember, John Considine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Considine
Context triple: [Missing, castMember, John Considine]
  • A. John Considine chosen
    John Considine is an American actor and screenwriter known for his character roles in film and television from the 1960s onward.
  • B. Robert Sullivan
    Robert Sullivan is a relatively common personal name shared by multiple notable individuals across fields such as literature, journalism, and sports.
  • C. John W. Considine Jr.
    John W. Considine Jr. was an American film producer active during Hollywood’s early studio era, known for overseeing a range of feature productions.
  • D. John J. Burns
    John J. Burns was a U.S. military officer best known for commanding American forces during the 1975 Battle of Koh Tang, the final official battle of the Vietnam War era.
  • E. Gerald Kean
    Gerald Kean is a prominent Irish solicitor and media personality known for his high-profile legal work and frequent appearances in Irish popular culture.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e953d4888190b7ca0ac932349dbf completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb827cd4819094bead4304795c33 completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 11:58 a.m.