Triple
T22447737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shadbolt |
E554906
|
entity |
| Predicate | notableBearer |
P458
|
FINISHED |
| Object | Nigel Shadbolt |
—
|
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 Shadbolt | Statement: [Shadbolt, notableBearer, Nigel Shadbolt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nigel Shadbolt Context triple: [Shadbolt, notableBearer, Nigel Shadbolt]
-
A.
Nigel Shadbolt
chosen
Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
-
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.
Graham Dumpleton
Graham Dumpleton is a software engineer and open-source developer best known for creating and maintaining mod_wsgi, a popular Apache module for hosting Python web applications.
-
D.
Nigel Olifaunt
Nigel Olifaunt is the fictional Scottish nobleman who serves as the protagonist of Sir Walter Scott’s novel "The Fortunes of Nigel."
-
E.
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.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b48be0481909f4601b732424e5b |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:47 p.m.