Triple

T8355327
Position Surface form Disambiguated ID Type / Status
Subject Black 47 E196667 entity
Predicate starredActor P5563 FINISHED
Object Barry Keoghan E147543 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: Barry Keoghan | Statement: [Black 47, starredActor, Barry Keoghan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barry Keoghan
Context triple: [Black 47, starredActor, Barry Keoghan]
  • A. Barry Keoghan chosen
    Barry Keoghan is an Irish actor known for his intense, offbeat performances in films such as "The Killing of a Sacred Deer," "The Banshees of Inisherin," and "Saltburn."
  • B. Ferdia Walsh-Peelo
    Ferdia Walsh-Peelo is an Irish actor and musician best known for his breakout role in the film "Sing Street" and his performance in the Academy Award–winning drama "CODA."
  • C. Jack O’Connell
    Jack O’Connell is an English actor known for his intense performances in film and television, including prominent roles in projects like "Skins," "’71," and "Unbroken."
  • D. Colin Farrell
    Colin Farrell is an Irish actor known for his versatile performances in films such as "In Bruges," "Phone Booth," and "The Banshees of Inisherin."
  • E. Daniel Henney
    Daniel Henney is an American actor and model known for his roles in films and television series such as "Big Hero 6," "Criminal Minds," and "The Wheel of Time."
  • 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_69ca82f08b348190bfb7881944bbff6f completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb8048edb88190a1980ad74818b898 completed March 31, 2026, 8:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc765e5c4819096b5f9129ee416a0 completed April 2, 2026, 1:33 a.m.
Created at: March 30, 2026, 5:59 p.m.