Triple

T10482239
Position Surface form Disambiguated ID Type / Status
Subject Down to Earth (2001 film) E247200 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: [Down to Earth (2001 film), producer, Sean Daniel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sean Daniel
Context triple: [Down to Earth (2001 film), 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. Ben Daniels
    Ben Daniels is an English actor known for his work in film, television, and theatre, including roles in projects such as the 2005 film adaptation of "Doom" and the series "The Exorcist" and "House of Cards."
  • C. 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.
  • D. 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.
  • E. 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."
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095d21c08190a0b2f3e57fabb1d8 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a03336988190bc1e61126fe576be completed April 10, 2026, 7:01 a.m.
Created at: April 6, 2026, 12:22 p.m.