Triple
T34077279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jo Haylen |
E873939
|
entity |
| Predicate | servesInCabinetOf |
P15469
|
FINISHED |
| Object | Chris Minns |
—
|
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: Chris Minns | Statement: [Jo Haylen, servesInCabinetOf, Chris Minns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesInCabinetOf Context triple: [Jo Haylen, servesInCabinetOf, Chris Minns]
-
A.
servedInCabinetOf
chosen
Indicates that one person held a position as a member of the governmental cabinet led by another person.
-
B.
cabinetOf
Indicates that one entity serves as the cabinet or governing body associated with another entity, typically a state, government, or leader.
-
C.
notableCabinetMember
Indicates that a person has served as a particularly prominent or significant member of a government cabinet.
-
D.
hasMinister
Indicates that one entity serves as the minister (political, religious, or administrative official) responsible for or associated with another entity.
-
E.
ministerIsMemberOf
Indicates that a minister belongs to, and holds membership in, a particular governing body, organization, or institution.
- 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_69f349a566808190a1c63b898f33cddf |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff7bc112088190851501fb2a16103d |
completed | May 9, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69ff7b45507c81909753866ad733601a |
completed | May 9, 2026, 6:21 p.m. |
Created at: May 1, 2026, 1:52 a.m.