Triple

T21256752
Position Surface form Disambiguated ID Type / Status
Subject Dave Hollister E523888 entity
Predicate associatedAct P37 FINISHED
Object Fred Hammond 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: Fred Hammond | Statement: [Dave Hollister, associatedAct, Fred Hammond]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Hammond
Context triple: [Dave Hollister, associatedAct, Fred Hammond]
  • A. Fred Hammond chosen
    Fred Hammond is an American gospel singer, bass guitarist, and producer known for his influential work in contemporary gospel and praise & worship music.
  • B. Mark Hammond
    Mark Hammond is a composer and music producer known for creating music for Disney theme park entertainment, including the Festival of Fantasy Parade.
  • C. John Hartman
    John Hartman was an American drummer best known as a founding member and key rhythmic force of the rock band The Doobie Brothers.
  • D. John Hartman
    John Hartman is the central fictional protagonist of the early-1990s American sitcom "Hearts Afire," around whose personal and professional life the series revolves.
  • E. Howard Marner
    Howard Marner is a character in the science-fiction comedy film "Short Circuit," serving as one of the key figures involved with the experimental military robots central to the story.
  • 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735a1f9e08190b494f582bcae5c35 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:58 p.m.