Triple
T20919568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coogan's Bluff |
E515167
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | James J. Coogan |
—
|
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: James J. Coogan | Statement: [Coogan's Bluff, namedAfter, James J. Coogan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James J. Coogan Context triple: [Coogan's Bluff, namedAfter, James J. Coogan]
-
A.
James J. Coogan
chosen
James J. Coogan was a prominent local figure and landowner in the area now known as Coogan's Hollow, for whom the location was named.
-
B.
Sam Haskell
Sam Haskell is an American television producer and former talent agent known for developing and producing family-oriented TV specials and films.
-
C.
Adam LaVorgna
Adam LaVorgna is an American actor best known for his roles in the television series "7th Heaven" and films such as "The Beautician and the Beast."
-
D.
Christopher Eberts
Christopher Eberts is a film producer known for his work on various feature films and television projects, including the thriller "Awake."
-
E.
Steven Culp
Steven Culp is an American actor best known for his roles in films like "Thirteen Days" and television series such as "Desperate Housewives" and "JAG."
- 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_69e0b4f9d5ec8190bb2bd27350ed341c |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6ec66593c819091ecf0c553e0aead |
completed | April 21, 2026, 3:17 a.m. |
Created at: April 16, 2026, 12:48 p.m.