Triple

T8441391
Position Surface form Disambiguated ID Type / Status
Subject Jason Statham E199358 entity
Predicate name P16 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: [Jason Statham, name, Jason Statham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jason Statham
Context triple: [Jason Statham, name, 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe138a94081908e306d22aaa39b24 completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1d9ab3a88190ada7741cf054fc1b completed April 2, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:08 p.m.