Triple
T6159479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Sheridan |
E137404
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Wind River |
E473915
|
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: Wind River | Statement: [Taylor Sheridan, notableWork, Wind River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wind River Context triple: [Taylor Sheridan, notableWork, Wind River]
-
A.
Wind River
chosen
Wind River is a 2017 neo-Western crime thriller film set on a Native American reservation, written and directed by Taylor Sheridan and produced by Basil Iwanyk.
-
B.
Powder River
Powder River is a river in northeastern Oregon and southeastern Washington known for flowing through ranching country and historic gold-mining areas before joining the Snake River.
-
C.
Cottonwood River
The Cottonwood River is a tributary of the Neosho River in central Kansas, flowing through the city of Emporia and the surrounding prairie landscape.
-
D.
Lolo River
The Lolo River is a significant river in Gabon that feeds into the larger Ogooué River system.
-
E.
Hon River
The Hon River is a river in Hiroshima, Japan, that flows through the city’s center and past landmarks such as the Hiroshima Peace Memorial Park.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d3445dc8190822954cee90f0dd7 |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6caf09b408190b1133afa52668bfe |
completed | March 27, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:17 p.m.