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.