Triple

T20261428
Position Surface form Disambiguated ID Type / Status
Subject Colleen Dewhurst E498846 entity
Predicate spouse P13 FINISHED
Object George C. Scott 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: George C. Scott | Statement: [Colleen Dewhurst, spouse, George C. Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George C. Scott
Context triple: [Colleen Dewhurst, spouse, George C. Scott]
  • A. George C. Scott chosen
    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.
  • B. Robert Shaw
    Robert Shaw is a relatively obscure individual primarily noted for being married to Virginia Jansen.
  • C. Robert Shaw
    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."
  • D. Robert Shaw
    Robert Shaw was a renowned American conductor particularly celebrated for his choral work and long association with the Atlanta Symphony Orchestra.
  • E. George Kennedy
    George Kennedy was an American character actor known for his tough-guy roles in films such as "Cool Hand Luke," for which he won an Academy Award, and the "Airport" and "Naked Gun" series.
  • 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_69da6275fa6c8190952924930adee150 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e674ca77c081909cd2f44ccfe3662d completed April 20, 2026, 6:47 p.m.
Created at: April 11, 2026, 11:41 p.m.