Triple

T12043040
Position Surface form Disambiguated ID Type / Status
Subject Jigsaw E286710 entity
Predicate stars P1956 FINISHED
Object Callum Keith Rennie E907040 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: Callum Keith Rennie | Statement: [Jigsaw, stars, Callum Keith Rennie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Callum Keith Rennie
Context triple: [Jigsaw, stars, Callum Keith Rennie]
  • A. Callum Keith Rennie chosen
    Callum Keith Rennie is a Canadian actor known for his versatile character roles in film and television, including notable performances in series like Battlestar Galactica and Due South.
  • B. George MacKay
    George MacKay is a British actor best known for his leading role in the World War I film "1917" and for his versatile performances in independent and mainstream cinema.
  • C. Callum Turner
    Callum Turner is a British actor and model known for roles in films such as "Green Room," the "Fantastic Beasts" series, and various acclaimed television dramas.
  • D. Lewis MacDougall
    Lewis MacDougall is a Scottish actor best known for his breakout role as the young protagonist in the fantasy drama film "A Monster Calls."
  • E. Joe Dempsie
    Joe Dempsie is a British actor best known for his roles in the TV series Skins and Game of Thrones.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040d13108190bd1a969fa62aae5a completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a613054819082f7900a6ba8fbf8 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:47 p.m.