Triple
T20950557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayou Country |
E515963
|
entity |
| Predicate | bandMemberOnRecording |
P22071
|
FINISHED |
| Object | Stu Cook |
—
|
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: Stu Cook | Statement: [Bayou Country, bandMemberOnRecording, Stu Cook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stu Cook Context triple: [Bayou Country, bandMemberOnRecording, Stu Cook]
-
A.
Stu Cook
chosen
Stu Cook is an American bass guitarist best known as a founding member of the rock band Creedence Clearwater Revival.
-
B.
Donald Cook
Donald Cook was an American stage and film actor active in the early to mid-20th century, known for his roles in both Broadway productions and Hollywood movies.
-
C.
Rob Cook
Rob Cook is a renowned computer graphics researcher and Pixar executive known for his pioneering work in rendering and visual effects.
-
D.
Dick Cook
Dick Cook is an American film executive and producer best known as the former chairman of Walt Disney Studios.
-
E.
John McCook
John McCook is an American actor best known for his long-running role as Eric Forrester on the soap opera "The Bold and the Beautiful."
- 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_69e0b4fcd678819087a304291f14330a |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fadd3bd88190a0d1fdea9d300fc0 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 1:26 p.m.