Triple

T10226266
Position Surface form Disambiguated ID Type / Status
Subject The Scorpion King E243211 entity
Predicate producer P490 FINISHED
Object Sean Daniel E410049 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: Sean Daniel | Statement: [The Scorpion King, producer, Sean Daniel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Daniel
Context triple: [The Scorpion King, producer, Sean Daniel]
  • A. Sean Daniel chosen
    Sean Daniel is an American film producer known for working on major Hollywood genre films, including horror and fantasy franchises.
  • B. Sean Sagar
    Sean Sagar is a British actor known for roles in television dramas and action series, including a part in the NCIS franchise spin-off NCIS: Sydney.
  • C. Matt Weinberg
    Matt Weinberg is an American former child actor best known for his voice and on-screen roles in film and television during the late 1990s and early 2000s.
  • D. Matthew Anden
    Matthew Anden was a German-born American actor known for his work in film and theater, including a role in the psychological drama "David and Lisa."
  • E. Sean Douglas
    Sean Douglas is an American songwriter and record producer known for co-writing hit pop songs for artists such as Demi Lovato, Jason Derulo, and Thomas Rhett.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f71fb4048190a36f1fe499729332 completed April 9, 2026, 12:47 a.m.
Created at: April 6, 2026, 11:17 a.m.