Triple
T1530550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Data Institute |
E32430
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Nigel Shadbolt |
E131774
|
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 Shadbolt | Statement: [Open Data Institute, foundedBy, Nigel Shadbolt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nigel Shadbolt Context triple: [Open Data Institute, foundedBy, 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.
Peter Sargeant
Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
-
C.
John Leeson
John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
-
D.
Geoffrey Smith
Geoffrey Smith is an Australian Anglican archbishop who serves as the national leader (Primate) of the Anglican Church of Australia.
-
E.
Graham Stanton
Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908156b888190968ca0157ae42bc7 |
completed | March 5, 2026, 4:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfb90e16081908d70df182b7efb8a |
completed | March 8, 2026, 10:43 p.m. |
Created at: March 4, 2026, 7:26 p.m.