Triple
T6660556
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John McTiernan |
E151463
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John McTiernan |
E151463
|
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: John McTiernan | Statement: [John McTiernan, name, John McTiernan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John McTiernan Context triple: [John McTiernan, name, John McTiernan]
-
A.
John McTiernan
chosen
John McTiernan is an American film director best known for influential action movies such as "Die Hard" and "Predator."
-
B.
David Friedkin
David Friedkin was an American screenwriter, director, and producer known for his work in mid-20th-century film and television.
-
C.
John Boyd-Carpenter
John Boyd-Carpenter was a British Conservative politician and government minister who held several senior posts in the mid-20th century, including key roles in economic and social policy.
-
D.
Peter Hyams
Peter Hyams is an American filmmaker known for directing and often writing and shooting genre films such as science fiction thrillers and action movies.
-
E.
Michael Cimino
Michael Cimino was an American film director and screenwriter best known for his ambitious, visually striking dramas and his Oscar-winning work on the Vietnam War epic "The Deer Hunter."
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0737cb08190ad455b48fd30eec8 |
completed | March 27, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0738a88190802abaeb0ab0a927 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:02 p.m.