Triple
T20755896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coogan's Bluff |
E510844
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Don Siegel |
—
|
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: Don Siegel | Statement: [Coogan's Bluff, director, Don Siegel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Siegel Context triple: [Coogan's Bluff, director, Don Siegel]
-
A.
Don Siegel
chosen
Don Siegel was an American film director best known for his taut, hard-edged action and crime dramas, including classics like "Dirty Harry" and "Invasion of the Body Snatchers."
-
B.
Anthony Mann
Anthony Mann was an American film director best known for his psychologically complex film noirs and influential 1950s Westerns.
-
C.
James Nava
James Nava is a character in the crime drama series "Shades of Blue," involved in the show's complex world of law enforcement and corruption.
-
D.
George Aldrich
George Aldrich is a NASA contamination control specialist known for his long career testing materials for off-gassing to ensure astronaut safety on space missions.
-
E.
John Sturges
John Sturges was an American film director best known for his classic action and Western films, including "The Great Escape" and "Bad Day at Black Rock."
- 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22fbc4c8190866a888612c6ad23 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:35 p.m.