Triple
T11548596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Family of Florida |
E273833
|
entity |
| Predicate | tenureLinkedTo |
P51051
|
FINISHED |
| Object | term of the Governor of Florida |
—
|
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: term of the Governor of Florida | Statement: [First Family of Florida, tenureLinkedTo, term of the Governor of Florida]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tenureLinkedTo Context triple: [First Family of Florida, tenureLinkedTo, term of the Governor of Florida]
-
A.
tenureDependsOn
chosen
Indicates that the duration or continuation of one entity’s tenure is conditional on or determined by another specified factor or entity.
-
B.
tenureType
Indicates the type or category of tenure or contractual engagement that characterizes the relationship between the involved entities.
-
C.
tenureCharacteristic
Indicates a relationship where a specific attribute or quality characterizes the duration or conditions of someone’s or something’s tenure.
-
D.
teamTenure
Indicates the duration or length of time an entity has been part of a particular team.
-
E.
endOfTenure
Indicates the point or event at which an entity’s period of holding a role, position, or office concludes.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e615b08190a072924329a94a6a |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d8087e57b48190a4c253dc0210f9d4 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:37 p.m.