Triple

T13384500
Position Surface form Disambiguated ID Type / Status
Subject Without a Trace E319404 entity
Predicate executiveProducer P7225 FINISHED
Object David Nutter E526304 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: David Nutter | Statement: [Without a Trace, executiveProducer, David Nutter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Nutter
Context triple: [Without a Trace, executiveProducer, David Nutter]
  • A. David Nutter chosen
    David Nutter is an American television director best known for helming numerous high-profile drama series episodes, including pivotal installments of "Game of Thrones" and "The X-Files."
  • B. Jeff Nelson
    Jeff Nelson is a Major League Baseball umpire who has served in numerous postseason games, including as a crew chief in the World Series.
  • C. Michael Nelson
    Michael Nelson is a musician best known for his work as a member of Prince’s backing band, The New Power Generation.
  • D. Kevin Nolting
    Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
  • E. Mike Nussbaum
    Mike Nussbaum is an American actor and director known for his character roles in film, television, and theater, including work in David Mamet projects such as "House of Games."
  • 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_69d806b886bc8190b676e7768b8e01c5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadce80158819082156eaeaeda3bd8 completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce5d00888190af03d9ef287f421f completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 9:33 p.m.