Triple
T24149894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Otis Pike |
E598498
|
entity |
| Predicate | fieldOfLegislativeActivity |
P17365
|
FINISHED |
| Object | foreign policy oversight |
—
|
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: foreign policy oversight | Statement: [Otis Pike, fieldOfLegislativeActivity, foreign policy oversight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfLegislativeActivity Context triple: [Otis Pike, fieldOfLegislativeActivity, foreign policy oversight]
-
A.
legislativeActivity
Indicates involvement in creating, debating, amending, or passing laws or related legislative measures.
-
B.
areaOfLegislation
chosen
Indicates that one entity defines, concerns, or governs the legal domain or subject matter covered by another entity.
-
C.
legislativeActOf
Indicates a relationship where a legislative act is authored, enacted, or formally issued by a specific legislative body or authority.
-
D.
typeOfLegislationSponsored
Indicates the specific category or kind of legislation that an entity has sponsored.
-
E.
hasLegislativeSubject
Indicates that a legislative document, action, or body concerns, addresses, or is about a particular subject or topic.
- 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_69e288c9e488819093dd1acd91b08b8a |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e00e025c81908cacfcfa0819c73f |
completed | April 29, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69f176585f3481909beb907de252cd98 |
completed | April 29, 2026, 3:09 a.m. |
Created at: April 17, 2026, 11:30 p.m.