Triple
T21251297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue (1993 film) |
E523749
|
entity |
| Predicate | narratedBy |
P2181
|
FINISHED |
| Object | Nigel Terry |
—
|
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: Nigel Terry | Statement: [Blue (1993 film), narratedBy, Nigel Terry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nigel Terry Context triple: [Blue (1993 film), narratedBy, Nigel Terry]
-
A.
Nigel Terry
chosen
Nigel Terry was an English actor best known for his intense, character-driven performances in historical and period films and on stage.
-
B.
Garth Fisher
Garth Fisher is a prominent American plastic surgeon best known for his appearances on the reality TV show "Extreme Makeover."
-
C.
David Birkin
David Birkin is a British actor and artist known for his work in film, television, and contemporary visual art.
-
D.
Fred Sterry
Fred Sterry was an American hotelier best known for his prominent role in the early management and development of New York City's iconic Plaza Hotel.
-
E.
Gareth Hunt
Gareth Hunt was a British actor best known for his roles in the television series "The New Avengers" and the sitcom "Side by Side."
- 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_69e0b5146c108190adc9adb73e90abff |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7359e90d881909b3153f1e7213c5c |
completed | April 21, 2026, 8:30 a.m. |
Created at: April 16, 2026, 3:56 p.m.