Triple
T15911033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bud Wilkinson |
E385846
|
entity |
| Predicate | senateCampaignYear |
P121029
|
FINISHED |
| Object | 1964 |
—
|
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: 1964 | Statement: [Bud Wilkinson, senateCampaignYear, 1964]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: senateCampaignYear Context triple: [Bud Wilkinson, senateCampaignYear, 1964]
-
A.
campaignYear
Indicates the specific year in which a campaign takes place, is launched, or is associated with an entity.
-
B.
yearOfPresidentialCampaign
Indicates the specific year in which an individual conducted or participated in a presidential election campaign.
-
C.
candidacyYear
Indicates the specific year in which an entity is a candidate for a position, office, award, or similar selection process.
-
D.
reElectionYear
Indicates the year in which an entity is (or is scheduled to be) elected again to the same position or office.
-
E.
targetedOfficeElectionYear
Indicates the year in which the election is held for the office that is the target of the relationship.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142ca3b208190946c3aa4c1e6087c |
completed | April 16, 2026, 8:12 p.m. |
| PDg | Predicate description generation | batch_69e17d48cc9c8190b03fd07ae2e9dfd8 |
completed | April 17, 2026, 12:22 a.m. |
Created at: April 10, 2026, 4:52 a.m.