Triple

T5514937
Position Surface form Disambiguated ID Type / Status
Subject Dangerous E144657 entity
Predicate hasCastMember P2308 FINISHED
Object John Eldredge E530712 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 Eldredge | Statement: [Dangerous, hasCastMember, John Eldredge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Eldredge
Context triple: [Dangerous, hasCastMember, John Eldredge]
  • A. John Eldredge chosen
    John Eldredge was an American character actor active in film and television during the mid-20th century, often appearing in supporting roles in crime dramas and comedies.
  • B. John Gray
    John Gray is a British political philosopher and author known for his critiques of liberalism, Enlightenment rationalism, and modern humanism.
  • C. Joshua Harris
    Joshua Harris is an American billionaire investor and philanthropist best known as a co-founder of the private equity firm Apollo Global Management and an owner of major professional sports franchises.
  • D. Christian Colson
    Christian Colson is a British film producer best known for his Academy Award-winning work on "Slumdog Millionaire" and other acclaimed dramas.
  • E. James Hartnett
    James Hartnett is a comedian and writer known for his stand-up performances and work in Canadian television and radio comedy.
  • 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_69c008f77ff88190b0cd50ca207295d1 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01f5b4e988190b590b4157cf089c1 completed March 22, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04cc0735881909b7ea6909570a750 completed March 22, 2026, 8:10 p.m.
Created at: March 22, 2026, 3:33 p.m.