Triple
T19830149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellowstone |
E476436
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ian Bohen |
—
|
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: Ian Bohen | Statement: [Yellowstone, starring, Ian Bohen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Bohen Context triple: [Yellowstone, starring, Ian Bohen]
-
A.
Ian Bohen
chosen
Ian Bohen is an American actor best known for his roles on television series such as "Teen Wolf" and "Yellowstone."
-
B.
Ian Bader
Ian Bader is a prominent architect and partner at the international architecture firm Pei Cobb Freed & Partners.
-
C.
Nicholas Grodin
Nicholas Grodin is the son of the late American actor and comedian Charles Grodin.
-
D.
Matt Durning
Matt Durning is a character from the television series "Beverly Hills, 90210," known as one of Kelly Taylor’s later love interests and a lawyer dealing with personal and professional struggles.
-
E.
Paul Gertz
Paul Gertz is a film and television producer best known for his work on the 1994 fantasy adventure film "The Pagemaster."
- 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.