Triple

T3460418
Position Surface form Disambiguated ID Type / Status
Subject We Can Be Heroes E73009 entity
Predicate stars P1956 FINISHED
Object Boyd Holbrook E220425 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: Boyd Holbrook | Statement: [We Can Be Heroes, stars, Boyd Holbrook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Boyd Holbrook
Context triple: [We Can Be Heroes, stars, Boyd Holbrook]
  • A. Boyd Holbrook chosen
    Boyd Holbrook is an American actor and former model known for roles in films like "Logan" and "Gone Girl" and the Netflix series "Narcos."
  • B. Warren William
    Warren William was an American stage and film actor of the 1930s, best known for his suave, often morally ambiguous leading and supporting roles in Hollywood pre-Code dramas and mysteries.
  • C. Richard Rosson
    Richard Rosson was an American film director and assistant director active during Hollywood’s early studio era, recognized for his award-winning work behind the camera.
  • D. Eddie Bracken
    Eddie Bracken was an American comedic actor known for his roles in 1940s and 1950s film comedies and Broadway productions.
  • E. Paul Powell
    Paul Powell was an American film director active during the silent era, known for helming several popular features in the 1910s and 1920s.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbae5ff848190880fa416a123bc4a completed March 8, 2026, 6:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3680170e081909c0d3a39a741280d completed March 13, 2026, 1:27 a.m.
Created at: March 8, 2026, 3:17 p.m.