Triple

T10071291
Position Surface form Disambiguated ID Type / Status
Subject Alain Johannes E213634 entity
Predicate hasCollaboratedWith P8554 FINISHED
Object Jack Irons E139320 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: Jack Irons | Statement: [Alain Johannes, hasCollaboratedWith, Jack Irons]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jack Irons
Context triple: [Alain Johannes, hasCollaboratedWith, Jack Irons]
  • A. Jack Irons chosen
    Jack Irons is an American rock drummer best known as a founding member of the Red Hot Chili Peppers and for his later work with Pearl Jam.
  • B. John Henry "Steel" Irons
    John Henry "Steel" Irons is a DC Comics superhero and brilliant engineer who forges a high-tech suit of armor to fight crime in honor of Superman.
  • C. Dashiell Robert Parr
    Dashiell Robert "Dash" Parr is the super-speed-powered middle child of the Parr family in Pixar's animated film series "The Incredibles."
  • D. Hardy Justice
    Hardy Justice is a film producer best known for his work on the period drama "Stage Beauty."
  • E. Nick Metropolis
    Nick Metropolis was a pioneering physicist and computer scientist known for his work on early computers and the development of the Metropolis algorithm in statistical physics and Monte Carlo methods.
  • 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_69ca839add308190b57d53b4ec21f2d0 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd01279388190b94c8def00425c78 completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29aaa61308190b134b49a6c1c1131 completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:59 p.m.