Triple
T21768126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Lady of Florida |
E537348
|
entity |
| Predicate | officeHoldersArePublicFigures |
P9583
|
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: [First Lady of Florida, officeHoldersArePublicFigures, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeHoldersArePublicFigures Context triple: [First Lady of Florida, officeHoldersArePublicFigures, true]
-
A.
officeHolders
Indicates a relationship where one or more entities hold, or have held, an official position or role within a specified organization, institution, or jurisdiction.
-
B.
officeHoldersCollectively
Indicates that a group of individuals jointly hold, or have held, a particular office or set of offices as a collective body.
-
C.
officeHoldersWere
Indicates that certain individuals held specific offices or positions during a particular time or context.
-
D.
officeHoldersAreUsually
chosen
Indicates that individuals holding a particular office or position are typically or generally characterized by a specified property or role.
-
E.
officeHoldersBelongTo
Indicates that designated office holders are affiliated with or part of a particular organization, institution, or administrative unit.
- 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_69e0c46f5d1c8190bf830409e98464e5 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f031ab57808190b9af6d8f0ead1051 |
completed | April 28, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_69e6be6299988190a34c98fa76d94700 |
completed | April 21, 2026, 12:01 a.m. |
Created at: April 16, 2026, 6:51 p.m.