Triple

T18964793
Position Surface form Disambiguated ID Type / Status
Subject Stewart Granger E464006 entity
Predicate name P16 FINISHED
Object Stewart Granger 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: Stewart Granger | Statement: [Stewart Granger, name, Stewart Granger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stewart Granger
Context triple: [Stewart Granger, name, Stewart Granger]
  • A. Stewart Granger chosen
    Stewart Granger was a British film actor best known for his swashbuckling and romantic leading roles in mid-20th-century cinema, including classics like "King Solomon's Mines" and "Scaramouche."
  • B. Trevor Howard
    Trevor Howard was a distinguished English film and stage actor best known for his roles in classic films such as "Brief Encounter" and "The Third Man."
  • C. Michael Wilding
    Michael Wilding was a British film and stage actor best known for his roles in 1940s–1950s British cinema and for his high-profile marriage to actress Elizabeth Taylor.
  • D. Jack Hawkins
    Jack Hawkins was a distinguished British actor known for his commanding presence in mid-20th-century war and historical films.
  • E. Richard Todd
    Richard Todd was an Irish-born British actor best known for his roles in classic war films such as "The Dam Busters" and "The Longest Day."
  • 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d5d5365881909dcbb4988d273b24 completed April 20, 2026, 7:29 a.m.
Created at: April 10, 2026, noon