Triple

T656292
Position Surface form Disambiguated ID Type / Status
Subject Bruce Dern E11656 entity
Predicate name P16 FINISHED
Object Bruce Dern E11656 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: Bruce Dern | Statement: [Bruce Dern, name, Bruce Dern]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruce Dern
Context triple: [Bruce Dern, name, Bruce Dern]
  • A. Bruce Dern chosen
    Bruce Dern is an acclaimed American character actor known for his intense, often villainous roles in films such as "Nebraska," "Coming Home," and numerous collaborations with directors like Quentin Tarantino.
  • B. Henry Fonda
    Henry Fonda was an acclaimed American film and stage actor known for his portrayals of principled, quietly heroic characters in classic films such as "12 Angry Men" and "On Golden Pond."
  • C. Scott Glenn
    Scott Glenn is an American actor known for his intense, rugged performances in films such as "The Right Stuff," "The Silence of the Lambs," and "Backdraft."
  • D. David Wayne
    David Wayne was an American character actor known for his versatile performances in film, television, and theater from the 1940s through the 1980s.
  • E. Rod Steiger
    Rod Steiger was an acclaimed American actor known for his intense, method-style performances in films such as "On the Waterfront," "In the Heat of the Night," and "The Pawnbroker."
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4e87408190b5276d2b913d0426 completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d6cdc9c81909eb3240c00fa530d completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:36 p.m.