Triple

T21563523
Position Surface form Disambiguated ID Type / Status
Subject Donostia Award E532100 entity
Predicate notableRecipient P108 FINISHED
Object Gregory Peck 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: Gregory Peck | Statement: [Donostia Award, notableRecipient, Gregory Peck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gregory Peck
Context triple: [Donostia Award, notableRecipient, Gregory Peck]
  • A. Gregory Peck chosen
    Gregory Peck was an acclaimed American actor renowned for his dignified, morally upright roles in classic films such as "To Kill a Mockingbird."
  • B. Montgomery Clift
    Montgomery Clift was an acclaimed American actor and early method acting pioneer, known for his intense, emotionally nuanced performances in classic films of the 1940s and 1950s.
  • C. Spencer Tracy
    Spencer Tracy was an acclaimed American film actor renowned for his naturalistic performances and two Academy Award–winning roles in a career spanning from the 1930s to the 1960s.
  • D. Gary Cooper
    Gary Cooper was an iconic American film actor renowned for his understated, stoic performances in classic Hollywood films, including major roles in Westerns and dramas.
  • E. George Macready
    George Macready was an American character actor best known for his sophisticated, often villainous roles in mid-20th-century Hollywood films such as "Gilda" and "Paths of Glory."
  • 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e6c19c81909eaae408d94f0625 completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.