Triple

T21134774
Position Surface form Disambiguated ID Type / Status
Subject Donald "Red" Grant E520788 entity
Predicate portrayedBy P1507 FINISHED
Object Robert Shaw 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: Robert Shaw | Statement: [Donald "Red" Grant, portrayedBy, Robert Shaw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Shaw
Context triple: [Donald "Red" Grant, portrayedBy, Robert Shaw]
  • A. Robert Shaw
    Robert Shaw is a relatively obscure individual primarily noted for being married to Virginia Jansen.
  • B. Robert Shaw chosen
    Robert Shaw was a British actor and writer best known for his intense, commanding performances in films such as "Jaws," "From Russia with Love," and "The Sting."
  • C. Robert Shaw
    Robert Shaw was a renowned American conductor particularly celebrated for his choral work and long association with the Atlanta Symphony Orchestra.
  • D. George C. Scott
    George C. Scott was an acclaimed American actor and director best known for his intense, commanding performances in films such as "Patton," for which he won (and famously refused) the Academy Award for Best Actor.
  • E. Charlton Heston
    Charlton Heston was an American actor renowned for his commanding screen presence and iconic roles in epic films such as "Ben-Hur," "The Ten Commandments," and "Planet of the Apes."
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e723592fd48190ba5977a1b229d51e completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:56 p.m.