Triple

T9425940
Position Surface form Disambiguated ID Type / Status
Subject Madhouse E227263 entity
Predicate hasMember P10 FINISHED
Object Matt Fink
Matt Fink is an American keyboardist best known for his work with Prince and The Revolution, where he performed under the persona "Doctor Fink."
E800510 NE FINISHED

How this triple was built (4 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: [Madhouse, hasMember, Matt Fink]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matt Fink
Context triple: [Madhouse, hasMember, Matt Fink]
  • A. Matt Messina
    Matt Messina is an American film and television composer best known for his award-winning score for the movie "Juno."
  • B. 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.
  • C. Dave Moutrey
    Dave Moutrey is a British arts leader and cultural executive best known for directing and developing Manchester’s HOME arts centre.
  • D. 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.
  • E. Dave Shull
    Dave Shull is an American media executive best known for serving as the CEO of The Weather Channel.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Matt Fink
Triple: [Madhouse, hasMember, Matt Fink]
Generated description
Matt Fink is an American keyboardist best known for his work with Prince and The Revolution, where he performed under the persona "Doctor Fink."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Matt Fink
Target entity description: Matt Fink is an American keyboardist best known for his work with Prince and The Revolution, where he performed under the persona "Doctor Fink."
  • A. Matt Messina
    Matt Messina is an American film and television composer best known for his award-winning score for the movie "Juno."
  • B. 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.
  • C. Dave Moutrey
    Dave Moutrey is a British arts leader and cultural executive best known for directing and developing Manchester’s HOME arts centre.
  • D. 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.
  • E. Dave Shull
    Dave Shull is an American media executive best known for serving as the CEO of The Weather Channel.
  • F. None of above. chosen

Provenance (5 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c908738819081df35c632f35f04 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1223d3cd8819089fec4c895125049 completed April 4, 2026, 2:37 p.m.
NEDg Description generation batch_69d1233a63d481908e322b7e86b5d124 completed April 4, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69d123d32c808190985da2639d2120f7 completed April 4, 2026, 2:44 p.m.
Created at: March 30, 2026, 7:49 p.m.