Triple
T4968618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chairman of the Federal Deposit Insurance Corporation |
E111586
|
entity |
| Predicate | isNonCabinetPosition |
P61498
|
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: [Chairman of the Federal Deposit Insurance Corporation, isNonCabinetPosition, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonCabinetPosition Context triple: [Chairman of the Federal Deposit Insurance Corporation, isNonCabinetPosition, true]
-
A.
isNonpartisanOffice
Indicates that the office or position is not affiliated with, controlled by, or contested along formal political party lines.
-
B.
isPoliticalOffice
Indicates that the subject is a formal governmental or political position held within a public institution or authority.
-
C.
isSeniorPoliticalRole
Indicates that the role held by an entity is a high-level or senior position within a political system or organization.
-
D.
isNonExecutive
Indicates that an entity holds a role or position that does not involve executive or top-level managerial authority within an organization.
-
E.
hasMinisterialRank
Indicates that an entity holds a position or status equivalent to a government minister in rank.
- F. None of above. chosen
Provenance (4 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_69bd441a0eb481908050fa4273b19eae |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd72e1b7cc8190b2e621fdf8f22e38 |
completed | March 20, 2026, 4:16 p.m. |
Created at: March 20, 2026, 1:32 p.m.