Triple

T19733595
Position Surface form Disambiguated ID Type / Status
Subject Wind River E473915 entity
Predicate portrayedBy P1507 FINISHED
Object James Jordan NE NERFINISHED

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: James Jordan | Statement: [Wind River, portrayedBy, James Jordan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Jordan
Context triple: [Wind River, portrayedBy, James Jordan]
  • A. James Jordan chosen
    James Jordan is an American actor known for his supporting roles in film and television, including appearances in projects like the crime thriller "Destroyer."
  • B. Joe Jordan
    Joe Jordan is a Canadian politician who served as a federal Member of Parliament representing the Ontario riding of Leeds—Grenville.
  • C. Dave Jordan
    Dave Jordan is a prominent film music supervisor known for curating the acclaimed soundtracks of major Marvel movies, including the Guardians of the Galaxy series.
  • D. Jack Jordan
    Jack Jordan is a fictional character in DC Comics, best known as the father of Green Lantern Hal Jordan and a test pilot whose death profoundly shapes his son's heroic path.
  • E. Kim Jordan
    Kim Jordan is an American entrepreneur and co-founder of New Belgium Brewing Company, known for helping popularize craft beer in the United States.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e517ebd48190979ee76723bcfadf completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6515b4d308190af3be1787fa7c65b completed April 20, 2026, 4:16 p.m.
Created at: April 10, 2026, 1:47 p.m.