Triple

T10920504
Position Surface form Disambiguated ID Type / Status
Subject Jack Duquesne E257933 entity
Predicate portrayedBy P1507 FINISHED
Object Tony Dalton E263420 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: Tony Dalton | Statement: [Jack Duquesne, portrayedBy, Tony Dalton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Dalton
Context triple: [Jack Duquesne, portrayedBy, Tony Dalton]
  • A. Tony Dalton chosen
    Tony Dalton is a Mexican-American actor best known internationally for his roles in the series "Better Call Saul" and Marvel's "Hawkeye."
  • B. Eddie Marsan
    Eddie Marsan is a British character actor known for his versatile performances in film and television, including roles in projects like "Ray Donovan," "Happy-Go-Lucky," and numerous Guy Ritchie films.
  • C. Danny Dyer
    Danny Dyer is an English actor and television personality best known for his tough-guy roles in British films and the soap opera EastEnders.
  • D. Richard Brake
    Richard Brake is a Welsh-American character actor known for his intense villainous roles in film and television, including appearances in genre works like Doom (2005), Batman Begins, and Game of Thrones.
  • E. Jack Reynor
    Jack Reynor is an Irish-American actor known for his roles in films such as "Midsommar," "What Richard Did," and "Transformers: Age of Extinction."
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77081a0c48190b7aa4a482032d1ea completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d6fdc1608190a072b919d2cee387 completed April 18, 2026, 12:57 a.m.
Created at: April 8, 2026, 9:22 p.m.