Triple
T4247571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Assistant Secretary of the Treasury |
E95564
|
entity |
| Predicate | hasPositionType |
P38152
|
FINISHED |
| Object | political appointee |
—
|
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: political appointee | Statement: [Assistant Secretary of the Treasury, hasPositionType, political appointee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPositionType Context triple: [Assistant Secretary of the Treasury, hasPositionType, political appointee]
-
A.
hasPositionHolderType
chosen
Indicates that an entity’s role or office is associated with a specific type or category of position holder.
-
B.
hasPositionOn
Indicates that one entity occupies or holds a specific role, job, or spatial location relative to another entity.
-
C.
hasPositionsFor
Indicates that one entity offers or contains available roles, jobs, or positions for another entity.
-
D.
isPositionOf
Indicates that one entity represents the spatial or organizational position or location of another entity.
-
E.
hasCoordinatesType
Indicates that an entity is associated with a specific type or system of coordinates used to define its 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_69b3453d91548190b4d4ef8fe52aa2ac |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e9cb71481909b4baa370193148f |
completed | March 12, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69b347f587148190a1830503459939b6 |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:05 p.m.