Triple
T2054947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirsten Gillibrand |
E45651
|
entity |
| Predicate | introducedLegislationOn |
P9962
|
FINISHED |
| Object | military justice reform |
—
|
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: military justice reform | Statement: [Kirsten Gillibrand, introducedLegislationOn, military justice reform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedLegislationOn Context triple: [Kirsten Gillibrand, introducedLegislationOn, military justice reform]
-
A.
introducedInLegislatureBy
Indicates that a piece of legislation was formally presented or sponsored in a legislative body by a specific legislator or legislative entity.
-
B.
legislativeActivity
chosen
Indicates involvement in creating, debating, amending, or passing laws or related legislative measures.
-
C.
passedLegislation
Indicates that a governing body has formally approved and enacted a specific piece of legislation or law.
-
D.
canInitiateLegislation
Indicates that the subject has the authority or power to formally propose or introduce new legislation or legal measures.
-
E.
legislatureAffected
Indicates that an action, event, or measure has an impact on a legislative body or its functioning.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9a8518081909ba95a8ef9321f12 |
completed | March 7, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_69abb7abba508190b872f345d3ba51bb |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:40 p.m.