Triple

T11465101
Position Surface form Disambiguated ID Type / Status
Subject Little Big Man E271760 entity
Predicate starring P1507 FINISHED
Object Jeff Corey E467975 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: Jeff Corey | Statement: [Little Big Man, starring, Jeff Corey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Corey
Context triple: [Little Big Man, starring, Jeff Corey]
  • A. Jeff Corey chosen
    Jeff Corey was an American character actor and influential acting teacher known for his work in film and television from the 1940s through the 1990s.
  • B. Corey Graves
    Corey Graves is a former professional wrestler best known today as a color commentator and on-air personality for WWE.
  • C. Corey Sienega
    Corey Sienega is a film producer best known for her work on genre and independent movies, including the psychological horror-thriller "Frailty."
  • D. Corey Gaines
    Corey Gaines is an American basketball coach and former player best known for leading the WNBA’s Phoenix Mercury to a championship as head coach.
  • E. Corey Carrier
    Corey Carrier is an American former child actor best known for portraying the young Indiana Jones in the television series "The Young Indiana Jones Chronicles."
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f5eb988190b309b8e309f6d1a5 completed April 9, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e60415f6ac8190ad81ed0ef0a30e12 completed April 20, 2026, 10:46 a.m.
Created at: April 8, 2026, 9:35 p.m.