Triple
T13265226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Bradley |
E315902
|
entity |
| Predicate | typeOfLegislationSponsored |
P109209
|
FINISHED |
| Object | high-profile state legislation |
—
|
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: high-profile state legislation | Statement: [Jennifer Bradley, typeOfLegislationSponsored, high-profile state legislation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfLegislationSponsored Context triple: [Jennifer Bradley, typeOfLegislationSponsored, high-profile state legislation]
-
A.
supportedLegislation
Indicates that an entity endorsed, promoted, or voted in favor of a particular piece of legislation.
-
B.
signedLegislation
Indicates that an authority formally approved and enacted a piece of legislation into law by signing it.
-
C.
advocatedLegislatureType
Indicates that an entity publicly supported or promoted a particular type or form of legislature.
-
D.
legislativeActivity
Indicates involvement in creating, debating, amending, or passing laws or related legislative measures.
-
E.
legislativeActOf
Indicates a relationship where a legislative act is authored, enacted, or formally issued by a specific legislative body or authority.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99cf7f9c48190a6a4f452b4a2aefa |
completed | April 11, 2026, 12:59 a.m. |
Created at: April 9, 2026, 9:25 p.m.