Triple
T22006145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DevilDriver |
E543453
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Neal Tiemann
Neal Tiemann is an American guitarist best known for his work in metal and hard rock bands, including his role in DevilDriver.
|
E1522589
|
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: Neal Tiemann | Statement: [DevilDriver, hasMember, Neal Tiemann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neal Tiemann Context triple: [DevilDriver, hasMember, Neal Tiemann]
-
A.
Nick Thiel
Nick Thiel is a television producer and writer best known for his work as an executive producer on the crime-comedy series "White Collar."
-
B.
Michael Tiemann
Michael Tiemann is an American software developer and open-source pioneer known for his leadership in the GNU Compiler Collection (GCC) project and his executive roles at Red Hat.
-
C.
Neil Bremer
Neil Bremer is the affable, politically inexperienced Los Angeles mayor portrayed by Ted Danson in the sitcom "Mr. Mayor."
-
D.
Chris Sievernich
Chris Sievernich is a German film producer best known for his work on acclaimed art-house and independent films, including Wim Wenders’ "Paris, Texas."
-
E.
Christopher Jahnke
Christopher Jahnke is an American musical theatre orchestrator known for his work on numerous 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: Neal Tiemann Triple: [DevilDriver, hasMember, Neal Tiemann]
Generated description
Neal Tiemann is an American guitarist best known for his work in metal and hard rock bands, including his role in DevilDriver.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Neal Tiemann Target entity description: Neal Tiemann is an American guitarist best known for his work in metal and hard rock bands, including his role in DevilDriver.
-
A.
Nick Thiel
Nick Thiel is a television producer and writer best known for his work as an executive producer on the crime-comedy series "White Collar."
-
B.
Michael Tiemann
Michael Tiemann is an American software developer and open-source pioneer known for his leadership in the GNU Compiler Collection (GCC) project and his executive roles at Red Hat.
-
C.
Neil Bremer
Neil Bremer is the affable, politically inexperienced Los Angeles mayor portrayed by Ted Danson in the sitcom "Mr. Mayor."
-
D.
Chris Sievernich
Chris Sievernich is a German film producer best known for his work on acclaimed art-house and independent films, including Wim Wenders’ "Paris, Texas."
-
E.
Christopher Jahnke
Christopher Jahnke is an American musical theatre orchestrator known for his work on numerous 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a0afa881908318a4ebe211ca28 |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9eaa53cc8190bfc006245a63f9e5 |
completed | May 18, 2026, 5:07 a.m. |
| NEDg | Description generation | batch_6a0aa0066d0481909872d8e1dbbe2fcf |
completed | May 18, 2026, 5:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0aa07acd5c8190bc73cc1d8897fa01 |
completed | May 18, 2026, 5:15 a.m. |
Created at: April 16, 2026, 8:21 p.m.