Triple
T21713339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kremlin Letter |
E535959
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Nigel Green |
—
|
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 Green | Statement: [The Kremlin Letter, stars, Nigel Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nigel Green Context triple: [The Kremlin Letter, stars, Nigel Green]
-
A.
Nigel Green
chosen
Nigel Green was a British character actor known for his commanding presence in mid-20th-century war and adventure films.
-
B.
Nigel Townsend
Nigel Townsend is a quirky and brilliant British forensic criminalist on the television drama "Crossing Jordan," known for his dark humor and unconventional investigative methods.
-
C.
Nigel Sears
Nigel Sears is a British tennis coach best known for working with several top WTA players, including former world No. 1 Ana Ivanovic.
-
D.
Nigel Wick
Nigel Wick is a comically tyrannical and eccentric British boss on the American sitcom "The Drew Carey Show," known for his outrageous behavior and antagonistic relationship with the main character.
-
E.
Nigel Lamb
Nigel Lamb is a British aerobatic and air racing pilot best known for competing at the highest level in international air racing events, including the Red Bull Air Race World Championship.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53573a08190ad73576d27e8094f |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:47 p.m.