Triple
T20042803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Descendents |
E497470
|
entity |
| Predicate | formerMember |
P1168
|
FINISHED |
| Object | Ray Cooper |
—
|
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: Ray Cooper | Statement: [Descendents, formerMember, Ray Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Cooper Context triple: [Descendents, formerMember, Ray Cooper]
-
A.
Ray Cooper
chosen
Ray Cooper is a renowned English percussionist and session musician known for his dynamic performances and collaborations with major rock and pop artists.
-
B.
Frank Cooper
Frank Cooper is a fictional character from the long-running American soap opera "Guiding Light," known as a member of the Cooper family.
-
C.
Richard Cooper
Richard Cooper is a musician associated with the British rock band Dire Straits.
-
D.
K.C. Cooper
K.C. Cooper is the teenage undercover spy protagonist of the Disney Channel series "K.C. Undercover," known for balancing high school life with secret missions.
-
E.
Joe Cooper
Joe Cooper is the sadistic, manipulative hitman and titular character in Tracy Letts’ darkly comic play and film "Killer Joe."
- 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_69da627278c88190babe4297a9df1236 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e662ec9ae0819097032ff50d6215c2 |
completed | April 20, 2026, 5:31 p.m. |
Created at: April 11, 2026, 3:37 p.m.