Triple
T12877328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Face/Off |
E308001
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Harve Presnell |
E439907
|
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: Harve Presnell | Statement: [Face/Off, starring, Harve Presnell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harve Presnell Context triple: [Face/Off, starring, Harve Presnell]
-
A.
Harve Presnell
chosen
Harve Presnell was an American actor and singer best known for his commanding baritone voice and memorable film and stage roles, including his performance in the Coen brothers' film "Fargo."
-
B.
Brett Cullen
Brett Cullen is an American actor known for his numerous film and television roles, including playing Thomas Wayne in the 2019 film "Joker."
-
C.
Ian George
Ian George is an Australian Anglican bishop who served as the Archbishop of Adelaide, leading the Anglican Church in South Australia.
-
D.
Dorian Harewood
Dorian Harewood is an American actor known for his work in film, television, and voice acting, including roles in projects such as Full Metal Jacket and the animated series Batman.
-
E.
John Ehle
John Ehle was an American novelist and screenwriter best known for his historical fiction set in the Appalachian region of North Carolina.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970fa8474819086a8af3c90f3ca84 |
completed | April 10, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbbb199081909c32575097fbc2bf |
completed | May 3, 2026, 4:14 a.m. |
Created at: April 9, 2026, 5:38 p.m.