Triple
T22768542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hart's War |
E563190
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Linus Roache |
—
|
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: Linus Roache | Statement: [Hart's War, starring, Linus Roache]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linus Roache Context triple: [Hart's War, starring, Linus Roache]
-
A.
Linus Roache
chosen
Linus Roache is an English actor known for his roles in film and television, including prominent performances in series such as "Homeland" and "Law & Order."
-
B.
Tim Metcalfe
Tim Metcalfe is a music producer best known for his work on Robbie Williams’ album "Take the Crown."
-
C.
Tim Metcalfe
Tim Metcalfe is an American screenwriter known for his work on films such as the horror movie "Bones" (2001) and other genre projects.
-
D.
Stephen Sloat
Stephen Sloat was an early local figure of historical significance in New York, after whom the village of Sloatsburg was named.
-
E.
Mike Farrell
Mike Farrell is an American actor, producer, and activist best known for his role as Captain B.J. Hunnicutt on the television series M*A*S*H.
- 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b59c9cc8190a6edd68f3209a672 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 3:27 p.m.