Triple
T22911574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dusty |
E568606
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Dusty |
—
|
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: Dusty | Statement: [Dusty, title, Dusty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dusty Context triple: [Dusty, title, Dusty]
-
A.
Dusty
Dusty is the nickname of Dusty Cohl, a prominent Canadian film producer and co-founder of the Toronto International Film Festival.
-
B.
Dusty
Dusty is the nickname of Dusty Baker, a longtime Major League Baseball manager and former All-Star outfielder known for his leadership and longevity in the sport.
-
C.
Dusty
"Dusty" is a song by the American rock band Soundgarden from their 1996 album *Down on the Upside*.
-
D.
Dusty
Dusty is the coyote mascot of the Tucson Roadrunners, an American Hockey League team based in Tucson, Arizona.
-
E.
Dusty
Dusty is a character in *The L Word* who becomes romantically involved with wealthy art patron Helena Peabody.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807493a881909e7ee6e8c4c5d4ad |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.