Triple
T19362869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SPECTRE |
E484323
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Red Grant |
—
|
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: Red Grant | Statement: [SPECTRE, notableMember, Red Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Grant Context triple: [SPECTRE, notableMember, Red Grant]
-
A.
Red Grant
chosen
Red Grant is a ruthless, psychopathic assassin and primary antagonist in the James Bond franchise, most prominently appearing as SPECTRE’s top killer in the film and novel "From Russia, with Love."
-
B.
Grant Grant
Grant Grant is a fictional character best known as the parasitically infected antagonist in the horror-comedy film "Slither."
-
C.
Lawrence Grant
Lawrence Grant was a British character actor known for his supporting roles in early 20th-century Hollywood films.
-
D.
David Grant
David Grant is the aging, cantankerous Midwestern man who embarks on a delusional road trip to claim a supposed sweepstakes prize in Alexander Payne’s film "Nebraska."
-
E.
David Grant
David Grant is a British soul and R&B singer best known as the former lead vocalist of the band Linx and for his later work as a vocal coach and television personality.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619a897008190a2c62a50ca60de2d |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:34 p.m.