Triple
T22969533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danny Diaz |
E571143
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Jim White |
—
|
NE NERFINISHED |
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: Jim White | Statement: [Danny Diaz, associatedWith, Jim White]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jim White Context triple: [Danny Diaz, associatedWith, Jim White]
-
A.
Jim White
Jim White is an American singer-songwriter known for his atmospheric, Southern Gothic-influenced alt-country music.
-
B.
Jim White
Jim White is the dedicated high school coach and main protagonist in the sports drama film "McFarland, USA," who leads a team of Latino student runners to cross-country success.
-
C.
Jim White
Jim White is an Australian drummer best known as a founding member of the instrumental rock band Dirty Three and for his extensive collaborations across indie and experimental music.
-
D.
Jim White
Jim White is a musician best known as a former drummer for the influential New York hardcore punk band Agnostic Front.
-
E.
Chris White
Chris White is an English saxophonist and session musician best known for his work with the rock band Dire Straits, particularly during their live tours in the 1980s and early 1990s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (2 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18231459881909dd25a0630c494d8 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.