Triple
T5356117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don Siegel |
E102695
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Coogan's Bluff |
E301661
|
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: Coogan's Bluff | Statement: [Don Siegel, notableWork, Coogan's Bluff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coogan's Bluff Context triple: [Don Siegel, notableWork, Coogan's Bluff]
-
A.
Coogan's Bluff
chosen
Coogan's Bluff is a 1968 American crime thriller film directed by Don Siegel and starring Clint Eastwood as an Arizona deputy sheriff tracking a fugitive in New York City.
-
B.
Coogan's Bluff
Coogan's Bluff is a prominent cliff and landmark in Manhattan, New York City, overlooking the former site of the Polo Grounds baseball stadium.
-
C.
The Spoils
The Spoils is a darkly comedic stage play by Jesse Eisenberg that explores privilege, insecurity, and fractured relationships among young urban adults.
-
D.
The Bluff
The Bluff is a prominent limestone plateau and the highest point on Cayman Brac, forming the island’s central ridge and most distinctive geographic feature.
-
E.
Logger’s Revenge
Logger’s Revenge is a classic log flume water ride located at the Santa Cruz Beach Boardwalk in California.
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd862f0ea48190bec78690ab3bee51 |
completed | March 20, 2026, 5:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf333e785c819092afe751934662f0 |
completed | March 22, 2026, 12:09 a.m. |
Created at: March 20, 2026, 2:01 p.m.