Triple

T12307572
Position Surface form Disambiguated ID Type / Status
Subject Golden Boot Award E293392 entity
Predicate notableRecipient P108 FINISHED
Object Randolph Scott E218474 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: Randolph Scott | Statement: [Golden Boot Award, notableRecipient, Randolph Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Randolph Scott
Context triple: [Golden Boot Award, notableRecipient, Randolph Scott]
  • A. Randolph Scott chosen
    Randolph Scott was a prominent American film actor best known for his roles in Westerns during the 1930s–1950s.
  • B. Joel McCrea
    Joel McCrea was an American film actor best known for his leading roles in classic Hollywood Westerns and comedies from the 1930s through the 1950s.
  • C. Clayton Moore
    Clayton Moore was an American actor best known for portraying the title character in the classic television series "The Lone Ranger."
  • D. Roscoe Karns
    Roscoe Karns was an American character actor known for his fast-talking, wisecracking roles in classic Hollywood films of the 1930s and 1940s.
  • E. Jack Nance
    Jack Nance was an American character actor best known for his longtime collaboration with director David Lynch, including his iconic lead role in the cult film "Eraserhead."
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f01ace8819087f245b9216f4dc8 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63eedd7a4819082f2049dcfff6401 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:53 p.m.