Triple
T2595166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kevin Whately |
E58211
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Whately |
E284115
|
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: Whately | Statement: [Kevin Whately, familyName, Whately]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whately Context triple: [Kevin Whately, familyName, Whately]
-
A.
Whately, Massachusetts
chosen
Whately, Massachusetts is a small rural town in Franklin County known for its agricultural heritage and location in the Connecticut River’s Pioneer Valley region.
-
B.
Andover
Andover is a town in Hampshire, England, known in part for its role as a major administrative and logistical center for the British Army.
-
C.
Andover
Andover is a town in northeastern Massachusetts known for its historic New England character, strong public schools, and institutions like Phillips Academy.
-
D.
Grafton
Grafton is a regional city in northern New South Wales, Australia, known for its historic architecture and annual Jacaranda Festival.
-
E.
Grafton
Grafton is a small rural village located within the district of West Oxfordshire in England.
- 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_69ab4ac14040819098b13f4a27d5c8ff |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd42978f881909f217e7ec9ac3144 |
completed | March 7, 2026, 7:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa0490328819093e78ca7b3a30af5 |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:49 p.m.