Triple
T21199282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Zinke |
E522408
|
entity |
| Predicate | startTimeAsU.S.RepresentativeFromMontanaAt-large |
P63636
|
FINISHED |
| Object | 2015-01-03 |
—
|
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: 2015-01-03 | Statement: [Ryan Zinke, startTimeAsU.S.RepresentativeFromMontanaAt-large, 2015-01-03]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeAsU.S.RepresentativeFromMontanaAt-large Context triple: [Ryan Zinke, startTimeAsU.S.RepresentativeFromMontanaAt-large, 2015-01-03]
-
A.
startTimeAsUSCongressSeat
Indicates the date and time at which an individual officially begins serving in a specific seat in the U.S. Congress.
-
B.
startTimeAsUnitedStatesSenator
Indicates the date and time at which an individual began serving in the role of United States Senator.
-
C.
startTime (U.S. Representative)
chosen
Indicates the date and time at which a person begins serving as a U.S. Representative.
-
D.
termStartAsStateRepresentative
Indicates the date or event when an individual begins serving in office as a state representative.
-
E.
representedInCongressSince
Indicates that an entity has served as a representative in a legislative congress continuously since a specified date or time.
- 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_69e0b51061388190aa03f19700d3ef04 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7342fe3a08190b7ed2cadf60091a8 |
completed | April 21, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:17 p.m.