Triple
T16673308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Only Crime |
E405156
|
entity |
| Predicate | bassist |
P15279
|
FINISHED |
| Object | Doni Blair |
E1227307
|
NE FINISHED |
How this triple was built (2 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: Doni Blair | Statement: [Only Crime, bassist, Doni Blair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doni Blair Context triple: [Only Crime, bassist, Doni Blair]
-
A.
Doni Blair
chosen
Doni Blair is an American bassist best known for his work with the rock band the Toadies and various punk and alternative projects.
-
B.
Ron Blair
Ron Blair is an American bassist best known as a longtime member of the rock band Tom Petty and the Heartbreakers.
-
C.
Mel Dinelli
Mel Dinelli was an American playwright and screenwriter best known for his work in film noir and suspense films during the mid-20th century.
-
D.
Mike Doling
Mike Doling is an American guitarist best known for his work with metal and alternative bands such as Snot, Soulfly, and Scars on Broadway.
-
E.
Michael Roberds
Michael Roberds was a Canadian actor best known for playing Uncle Fester in the 1990s television adaptation of The Addams Family.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ca276848190b7562d7cb88d21e0 |
completed | April 18, 2026, 12:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d31372c8190b9d73a9b7db51f0f |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:19 a.m.