Triple
T19830141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellowstone |
E476436
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Wes Bentley |
—
|
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: Wes Bentley | Statement: [Yellowstone, starring, Wes Bentley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wes Bentley Context triple: [Yellowstone, starring, Wes Bentley]
-
A.
Wes Bentley
chosen
Wes Bentley is an American actor known for his breakout role in "American Beauty" and appearances in films like "The Hunger Games" and "Interstellar."
-
B.
Kit Connor
Kit Connor is a British actor best known for his role as Nick Nelson in the Netflix series "Heartstopper."
-
C.
Joshua Leonard
Joshua Leonard is an American actor and filmmaker best known for his breakout role in "The Blair Witch Project" and his work in independent film and television.
-
D.
Benjamin Walker
Benjamin Walker is an American actor and stand-up comedian known for roles in films like "Abraham Lincoln: Vampire Hunter" and "In the Heart of the Sea," as well as on stage in productions such as "Bloody Bloody Andrew Jackson."
-
E.
Justin Henry
Justin Henry is an American former child actor best known for his Oscar-nominated role as Billy Kramer in the film "Kramer vs. Kramer."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cd9b94819081a541bb6c5c2942 |
completed | April 20, 2026, 4:39 p.m. |
Created at: April 10, 2026, 1:50 p.m.