Triple

T17479265
Position Surface form Disambiguated ID Type / Status
Subject Boy A E425614 entity
Predicate producer P490 FINISHED
Object Nick Marston NE NERFINISHED

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: Nick Marston | Statement: [Boy A, producer, Nick Marston]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Marston
Context triple: [Boy A, producer, Nick Marston]
  • A. Nick Marston chosen
    Nick Marston is a television and film producer best known for his executive production work on the adaptation of "Jonathan Strange & Mr Norrell."
  • B. Jimi Simmons
    Jimi Simmons is a Native American activist known for his involvement in Indigenous rights and prison reform movements in the United States.
  • C. Daniel Grayson
    Daniel Grayson is a central character in the TV drama "Revenge," known as the wealthy and conflicted heir of the powerful Grayson family.
  • D. Tim Quill
    Tim Quill was an American actor best known for his role as Pvt. Joe Beletsky in the Vietnam War film "Hamburger Hill."
  • E. Jono Grant
    Jono Grant is a British DJ, producer, and co-founder of the acclaimed trance and progressive group Above & Beyond.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889dbc2e88190b18ea6115e819258 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451be5fd08190aeaa12b3a6d6c6d4 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.