Triple
T4161761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helmet |
E91547
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Mike Jost
Mike Jost is a musician best known as the drummer for the punk rock band Helmet.
|
E416605
|
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: Mike Jost | Statement: [Helmet, hasMember, Mike Jost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mike Jost Context triple: [Helmet, hasMember, Mike Jost]
-
A.
Michael Seitzman
Michael Seitzman is an American screenwriter and producer known for his work on films such as "North Country" and for creating and producing several television series.
-
B.
Michael Yeargan
Michael Yeargan is an American scenic designer renowned for his work in opera and theatre, including major productions at leading companies such as the Metropolitan Opera and Broadway.
-
C.
Jeff Cronenweth
Jeff Cronenweth is an American cinematographer known for his stylish, atmospheric work on films such as "The Social Network" and collaborations with director David Fincher.
-
D.
Gary Dourdan
Gary Dourdan is an American actor best known for playing Warrick Brown on the television series CSI: Crime Scene Investigation.
-
E.
Scott Pask
Scott Pask is a Tony Award–winning American scenic designer known for his innovative and visually striking sets for major Broadway productions.
- 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: Mike Jost Triple: [Helmet, hasMember, Mike Jost]
Generated description
Mike Jost is a musician best known as the drummer for the punk rock band Helmet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mike Jost Target entity description: Mike Jost is a musician best known as the drummer for the punk rock band Helmet.
-
A.
Michael Seitzman
Michael Seitzman is an American screenwriter and producer known for his work on films such as "North Country" and for creating and producing several television series.
-
B.
Michael Yeargan
Michael Yeargan is an American scenic designer renowned for his work in opera and theatre, including major productions at leading companies such as the Metropolitan Opera and Broadway.
-
C.
Jeff Cronenweth
Jeff Cronenweth is an American cinematographer known for his stylish, atmospheric work on films such as "The Social Network" and collaborations with director David Fincher.
-
D.
Gary Dourdan
Gary Dourdan is an American actor best known for playing Warrick Brown on the television series CSI: Crime Scene Investigation.
-
E.
Scott Pask
Scott Pask is a Tony Award–winning American scenic designer known for his innovative and visually striking sets for major Broadway productions.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a6b5f48190bdabf988d23f6e97 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f456bf88190b9b8678476ac3803 |
completed | March 14, 2026, 3:31 p.m. |
| NEDg | Description generation | batch_69b57fe89ed0819089d7e56568755b1c |
completed | March 14, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5805cb7e88190b2f6ed6a18de9319 |
completed | March 14, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:44 p.m.