Triple

T5319639
Position Surface form Disambiguated ID Type / Status
Subject Crank E121639 entity
Predicate starring P1507 FINISHED
Object Jason Statham E199358 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: Jason Statham | Statement: [Crank, starring, Jason Statham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Statham
Context triple: [Crank, starring, Jason Statham]
  • A. Jason Statham chosen
    Jason Statham is an English actor and former competitive diver best known for his tough-guy roles in high-octane action films such as The Transporter, Crank, and The Expendables franchises.
  • B. Ed Skrein
    Ed Skrein is a British actor and rapper best known for roles in films such as "Deadpool," "The Transporter Refueled," and "Alita: Battle Angel."
  • C. Dolph Lundgren
    Dolph Lundgren is a Swedish actor, director, and martial artist best known for his tough-guy roles in action films such as "Rocky IV" and "The Expendables" series.
  • D. Cole Hauser
    Cole Hauser is an American actor known for his tough, authoritative roles in films like "Dazed and Confused," "Pitch Black," and "2 Fast 2 Furious," as well as the TV series "Yellowstone."
  • E. Ray Winstone
    Ray Winstone is an English actor known for his tough-guy roles in British film and television, including performances in movies like "Sexy Beast" and "The Departed."
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd855407048190bcdb97c7098cc2aa completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18a117d48190a7fb45be0b002f4e completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 1:59 p.m.