Triple
T4357309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twisted Brown Trucker |
E98180
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Tino Gross
Tino Gross is a musician best known as a member of Kid Rock’s backing band, Twisted Brown Trucker.
|
E432789
|
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: Tino Gross | Statement: [Twisted Brown Trucker, hasMember, Tino Gross]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tino Gross Context triple: [Twisted Brown Trucker, hasMember, Tino Gross]
-
A.
Marc Streitenfeld
Marc Streitenfeld is a German film score composer best known for his frequent collaborations with director Ridley Scott on major Hollywood films.
-
B.
Gerwin Klein
Gerwin Klein is a computer scientist known for his work in formal verification, particularly the seL4 microkernel verification project.
-
C.
Wolfgang Grajonca
Wolfgang Grajonca, better known as Bill Graham, was a legendary rock concert promoter and music industry figure who helped shape the modern live music business in the United States.
-
D.
Peter Vinnemeier
Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
-
E.
Dario Hübner
Dario Hübner is a former Italian striker renowned for his prolific goal-scoring in Serie A well into his thirties, particularly with provincial clubs.
- 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: Tino Gross Triple: [Twisted Brown Trucker, hasMember, Tino Gross]
Generated description
Tino Gross is a musician best known as a member of Kid Rock’s backing band, Twisted Brown Trucker.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tino Gross Target entity description: Tino Gross is a musician best known as a member of Kid Rock’s backing band, Twisted Brown Trucker.
-
A.
Marc Streitenfeld
Marc Streitenfeld is a German film score composer best known for his frequent collaborations with director Ridley Scott on major Hollywood films.
-
B.
Gerwin Klein
Gerwin Klein is a computer scientist known for his work in formal verification, particularly the seL4 microkernel verification project.
-
C.
Wolfgang Grajonca
Wolfgang Grajonca, better known as Bill Graham, was a legendary rock concert promoter and music industry figure who helped shape the modern live music business in the United States.
-
D.
Peter Vinnemeier
Peter Vinnemeier is a German entrepreneur best known as a co-founder of the global hotel search and price comparison platform Trivago.
-
E.
Dario Hübner
Dario Hübner is a former Italian striker renowned for his prolific goal-scoring in Serie A well into his thirties, particularly with provincial clubs.
- 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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351c68a588190ba14a298afacb1dc |
completed | March 12, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5dbb9b9988190adf8a84de3582ab6 |
completed | March 14, 2026, 10:05 p.m. |
| NEDg | Description generation | batch_69b5dc578b08819095cbf6ba8470d3e0 |
completed | March 14, 2026, 10:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5dd1b03508190a47bb6fb93f22ad8 |
completed | March 14, 2026, 10:11 p.m. |
Created at: March 12, 2026, 11:16 p.m.