Triple

T7034159
Position Surface form Disambiguated ID Type / Status
Subject Risen E163337 entity
Predicate leadActor P1507 FINISHED
Object Cliff Curtis E197197 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: Cliff Curtis | Statement: [Risen, leadActor, Cliff Curtis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cliff Curtis
Context triple: [Risen, leadActor, Cliff Curtis]
  • A. Cliff Curtis chosen
    Cliff Curtis is a New Zealand actor known for his versatile character roles in both Hollywood films and local cinema, including prominent appearances in action, drama, and genre movies.
  • B. Jack Huston
    Jack Huston is a British actor known for his acclaimed role as disfigured World War I veteran Richard Harrow on the HBO series "Boardwalk Empire," as well as performances in films like "American Hustle" and "Ben-Hur."
  • C. David Leahy
    David Leahy is a notable individual recognized for achievements significant enough to be associated with the surname Leahy.
  • D. Richard Gant
    Richard Gant is an American character actor known for his roles in film and television, often portraying authoritative or tough-minded figures.
  • E. Burn Gorman
    Burn Gorman is a British-American actor known for his character roles in film and television, including appearances in projects like "Torchwood," "Game of Thrones," and "Pacific Rim."
  • 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_69c6885d691c81908cf7d31083113886 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e2118fc88190a0751ca18eafb4a5 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7759c8e408190a7d457e77a44ee26 completed March 28, 2026, 6:30 a.m.
Created at: March 27, 2026, 2:36 p.m.