Triple
T21268075
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chair of the National Governors Association |
E524180
|
entity |
| Predicate | isNonpartisanInFunction |
P5069
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Chair of the National Governors Association, isNonpartisanInFunction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonpartisanInFunction Context triple: [Chair of the National Governors Association, isNonpartisanInFunction, true]
-
A.
isNonpartisanOffice
chosen
Indicates that the office or position is not affiliated with, controlled by, or contested along formal political party lines.
-
B.
isNonPoliticalOffice
Indicates that the office or position in question is not associated with political power, political decision-making, or elected political roles.
-
C.
nonPartisan
Indicates that an entity is not affiliated with, influenced by, or acting on behalf of any political party or partisan interest.
-
D.
isBipartisan
Indicates that an action, decision, or stance is supported or undertaken by members of two (or more) opposing political parties.
-
E.
isNonCabinetPosition
Indicates that the position held by an individual is not part of the official cabinet-level roles within a government or organization.
- 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_69e0b5156d7881909bd4f83676590715 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e735ee38cc81909b4e7c5996bb64f9 |
completed | April 21, 2026, 8:31 a.m. |
| PD | Predicate disambiguation | batch_69e5f6161dac8190b06009cd180e3ff7 |
completed | April 20, 2026, 9:47 a.m. |
Created at: April 16, 2026, 4 p.m.