Triple
T24726108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surrey Police and Crime Commissioner |
E618154
|
entity |
| Predicate | subsequentOfficeHolder |
P33240
|
FINISHED |
| Object | David Munro |
—
|
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: David Munro | Statement: [Surrey Police and Crime Commissioner, subsequentOfficeHolder, David Munro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subsequentOfficeHolder Context triple: [Surrey Police and Crime Commissioner, subsequentOfficeHolder, David Munro]
-
A.
successorOfficeHolder
chosen
Indicates that one office holder directly follows another in occupying the same official position.
-
B.
lastOfficeHolderLaterBecame
Indicates that the person who most recently held a given office subsequently went on to hold another specified office or role.
-
C.
successorOfficeTo
Indicates that one office or position directly follows and replaces another in an official sequence or hierarchy.
-
D.
subsequentHeadOfGovernment
Indicates that one entity served as the next head of government following another entity in an official succession.
-
E.
incumbentAfterElection
Indicates that an entity holds a position or office as the sitting incumbent following a specified election.
- F. None of above.
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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:58 a.m.