Triple

T17511375
Position Surface form Disambiguated ID Type / Status
Subject Infest E426458 entity
Predicate producer P490 FINISHED
Object Jay Baumgardner 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: Jay Baumgardner | Statement: [Infest, producer, Jay Baumgardner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Baumgardner
Context triple: [Infest, producer, Jay Baumgardner]
  • A. Jay Baumgardner chosen
    Jay Baumgardner is an American record producer and mixing engineer known for his work with numerous rock and metal bands and for shaping the sound of modern alternative rock.
  • B. Christopher Schmidt
    Christopher Schmidt is the real name of the DC Comics antihero Peacemaker, a vigilante obsessed with achieving peace through often extreme and violent means.
  • C. John Luessenhop
    John Luessenhop is an American film director and screenwriter best known for helming genre and action films, including the horror sequel "Texas Chainsaw 3D."
  • D. Tim O’Heir
    Tim O’Heir is an American sound designer and music producer known for his work on Broadway and in alternative rock, including the revival of "Hedwig and the Angry Inch."
  • E. Christopher Jahnke
    Christopher Jahnke is an American musical theatre orchestrator known for his work on numerous Broadway productions.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4525c21c88190a9394c4bce006a38 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.