Triple

T21160083
Position Surface form Disambiguated ID Type / Status
Subject Dan McGinty E521415 entity
Predicate portrayedBy P1507 FINISHED
Object Brian Donlevy 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: Brian Donlevy | Statement: [Dan McGinty, portrayedBy, Brian Donlevy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Donlevy
Context triple: [Dan McGinty, portrayedBy, Brian Donlevy]
  • A. Brian Donlevy chosen
    Brian Donlevy was an American film actor known for his tough-guy roles in Hollywood classics of the 1930s and 1940s, including several notable Westerns and war films.
  • B. George Brent
    George Brent was an Irish-American leading man of 1930s and 1940s Hollywood cinema, known for his suave screen presence opposite stars like Bette Davis.
  • C. Richard Arlen
    Richard Arlen was an American film actor best known for his roles in early Hollywood, particularly in silent and early sound-era adventure and war films.
  • D. George Powell
    George Powell was a 19th-century British sealer and explorer noted for his Antarctic voyages and co-discovery of several sub-Antarctic islands.
  • E. 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.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252f70888190b8e6109cc4099ecc completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:59 p.m.