Triple
T10463373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zulu |
E246730
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Nigel Green |
E791136
|
NE FINISHED |
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: [Zulu, starring, Nigel Green]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nigel Green Context triple: [Zulu, starring, 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 Sears
Nigel Sears is a British tennis coach best known for working with several top WTA players, including former world No. 1 Ana Ivanovic.
-
C.
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.
-
D.
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.
-
E.
Nigel Harrison
Nigel Harrison is an English bassist best known for his work with the new wave band Blondie during their late-1970s and early-1980s peak.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d50885e220819089e455b646f31e65 |
completed | April 7, 2026, 1:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90dac584081909a79bc300b9338c8 |
completed | April 10, 2026, 2:48 p.m. |
Created at: April 6, 2026, 12:19 p.m.