Triple
T1519387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chief Financial Officer of Florida |
E32191
|
entity |
| Predicate | isCabinetLevel |
P1269
|
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: [Chief Financial Officer of Florida, isCabinetLevel, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCabinetLevel Context triple: [Chief Financial Officer of Florida, isCabinetLevel, true]
-
A.
cabinetLevel
chosen
Indicates that an official, position, or body holds a status equivalent to or recognized as part of a national cabinet-level rank or authority.
-
B.
servedInCabinetOf
Indicates that one person held a position as a member of the governmental cabinet led by another person.
-
C.
isSeniorPoliticalRole
Indicates that the role held by an entity is a high-level or senior position within a political system or organization.
-
D.
isPoliticalOffice
Indicates that the subject is a formal governmental or political position held within a public institution or authority.
-
E.
numberOfCabinetMembers
Indicates the total count of cabinet members associated with a given government, administration, or leader.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93d4756888190bf3872154de11539 |
completed | March 5, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69a907ac7ea081908dd95bb5cc3b9847 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.