Triple

T8329398
Position Surface form Disambiguated ID Type / Status
Subject A Majority of One E195036 entity
Predicate producedBy P490 FINISHED
Object Michael Gordon E594464 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: Michael Gordon | Statement: [A Majority of One, producedBy, Michael Gordon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Gordon
Context triple: [A Majority of One, producedBy, Michael Gordon]
  • A. Michael Gordon
    Michael Gordon is an individual associated with the Free School, likely as a participant or member involved in its educational or community activities.
  • B. Michael Gordon
    Michael Gordon is an American composer known for his innovative, genre-blurring contemporary classical works and as a co-founder of the Bang on a Can collective.
  • C. Michael Gordon chosen
    Michael Gordon was an American film director best known for his work on classic Hollywood comedies and dramas, including the hit romantic comedy "Pillow Talk."
  • D. Mike Gordon
    Mike Gordon is an American bassist, vocalist, and songwriter best known as a founding member of the jam band Phish.
  • E. John Hoffman
    John Hoffman is an American writer, producer, and director best known for co-creating the mystery-comedy television series "Only Murders in the Building."
  • 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_69ca82e87f2c8190bdb71ee29dfc642d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fb812508190aed8a283dacf712e completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95c2c36481909793e9cd0c28168a completed April 1, 2026, 10:01 p.m.
Created at: March 30, 2026, 5:56 p.m.