Triple
T4313791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eddie Izzard |
E94138
|
entity |
| Predicate | hasRunForOffice |
P1792
|
FINISHED |
| Object | Member of Parliament for Sheffield Central |
—
|
LITERAL 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: Member of Parliament for Sheffield Central | Statement: [Eddie Izzard, hasRunForOffice, Member of Parliament for Sheffield Central]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRunForOffice Context triple: [Eddie Izzard, hasRunForOffice, Member of Parliament for Sheffield Central]
-
A.
nominatedForOffice
chosen
Indicates that an entity has been formally put forward as a candidate to hold a particular office or position.
-
B.
hasPoliticalOfficeScope
Indicates that a political office or position is limited to, defined within, or applicable to a specific jurisdiction, level, or scope of political authority.
-
C.
succeededInOffice
Indicates that one officeholder directly followed another in holding the same official position.
-
D.
hasHeldOfficeType
Indicates that an entity has at some time occupied or served in a specified type or category of office or position.
-
E.
eligibleForOffice
Indicates that an entity meets the necessary requirements or qualifications to hold a particular office or position.
- 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_69b3451886588190a3dd1305ea7c58dc |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b350f319c08190bb40a9fc5933728d |
completed | March 12, 2026, 11:49 p.m. |
| PD | Predicate disambiguation | batch_69b34f4a07b08190a06ada0d9cbb14fb |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:12 p.m.