Triple
T4161763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helmet |
E91547
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Dave Case
Dave Case is a musician best known as a member of the rock band Helmet.
|
E416606
|
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: Dave Case | Statement: [Helmet, hasMember, Dave Case]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Case Context triple: [Helmet, hasMember, Dave Case]
-
A.
Christian Stovitz
Christian Stovitz is a stylish, charming new student and love interest in the 1995 teen comedy film "Clueless," known for his retro fashion sense and eventual revelation as gay.
-
B.
Jeff Pagliocca
Jeff Pagliocca is a basketball executive best known for serving as the general manager of the WNBA’s Chicago Sky.
-
C.
Evan Czaplicki
Evan Czaplicki is a software engineer best known for designing and developing Elm, a functional programming language for building reliable web front-end applications.
-
D.
Matt Kaufmann
Matt Kaufmann is a computer scientist best known for his work on automated theorem proving and the ACL2 theorem prover, often in collaboration with J Strother Moore.
-
E.
Connor Schell
Connor Schell is an American television and film producer best known for his work at ESPN, where he helped pioneer high-quality sports storytelling and documentary programming.
- 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: Dave Case Triple: [Helmet, hasMember, Dave Case]
Generated description
Dave Case is a musician best known as a member of the rock band Helmet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dave Case Target entity description: Dave Case is a musician best known as a member of the rock band Helmet.
-
A.
Christian Stovitz
Christian Stovitz is a stylish, charming new student and love interest in the 1995 teen comedy film "Clueless," known for his retro fashion sense and eventual revelation as gay.
-
B.
Jeff Pagliocca
Jeff Pagliocca is a basketball executive best known for serving as the general manager of the WNBA’s Chicago Sky.
-
C.
Evan Czaplicki
Evan Czaplicki is a software engineer best known for designing and developing Elm, a functional programming language for building reliable web front-end applications.
-
D.
Matt Kaufmann
Matt Kaufmann is a computer scientist best known for his work on automated theorem proving and the ACL2 theorem prover, often in collaboration with J Strother Moore.
-
E.
Connor Schell
Connor Schell is an American television and film producer best known for his work at ESPN, where he helped pioneer high-quality sports storytelling and documentary programming.
- 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.