Triple

T9520410
Position Surface form Disambiguated ID Type / Status
Subject The Revolution E229629 entity
Predicate member P10 FINISHED
Object Matt Fink E800510 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: Matt Fink | Statement: [The Revolution, member, Matt Fink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Fink
Context triple: [The Revolution, member, Matt Fink]
  • A. Matt Fink chosen
    Matt Fink is an American keyboardist best known for his work with Prince and The Revolution, where he performed under the persona "Doctor Fink."
  • B. Matt Messina
    Matt Messina is an American film and television composer best known for his award-winning score for the movie "Juno."
  • C. Mike Kellin
    Mike Kellin was an American character actor known for his prolific work in film, television, and theater from the 1950s through the 1970s.
  • D. Dave Moutrey
    Dave Moutrey is a British arts leader and cultural executive best known for directing and developing Manchester’s HOME arts centre.
  • E. David Mullins
    David Mullins is an American man who, along with his partner Charlie Craig, was a complainant in the landmark U.S. Supreme Court case Masterpiece Cakeshop v. Colorado Civil Rights Commission involving LGBTQ+ rights and religious freedom.
  • 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_69ca847870a881909d8d751a7d29da39 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9883c5c48190a6583921afe9730a completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a56da2481909873c8d567b3fd5f completed April 4, 2026, 4:20 p.m.
Created at: March 30, 2026, 7:59 p.m.