Triple

T10737514
Position Surface form Disambiguated ID Type / Status
Subject Queen and Country E253230 entity
Predicate stars P1956 FINISHED
Object Caleb Landry Jones E269530 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: Caleb Landry Jones | Statement: [Queen and Country, stars, Caleb Landry Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caleb Landry Jones
Context triple: [Queen and Country, stars, Caleb Landry Jones]
  • A. Caleb Landry Jones chosen
    Caleb Landry Jones is an American actor and musician known for his intense, often unsettling performances in films such as "Get Out," "Three Billboards Outside Ebbing, Missouri," and "Nitram."
  • 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. Corey Hawkins
    Corey Hawkins is an American actor known for his roles in films like "Straight Outta Compton" and "Kong: Skull Island," as well as television series such as "24: Legacy."
  • D. Orson Cox
    Orson Cox is the son of Scottish actor and physicist-turned-science-communicator Brian Cox.
  • E. Toby Huss
    Toby Huss is an American actor and voice actor known for his character roles in film and television, including work on series like "King of the Hill" and "Halt and Catch Fire."
  • 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_69d6aa5e51e8819095f06881cecf152e completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d710410a04819090036597ac0d271c completed April 9, 2026, 2:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2162f1f648190b325c7e7647b543e completed April 17, 2026, 11:14 a.m.
Created at: April 8, 2026, 9:14 p.m.