Triple
T28278663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vida Goldstein |
E713079
|
entity |
| Predicate | electionCandidacyYear |
P78375
|
FINISHED |
| Object | 1903 |
—
|
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: 1903 | Statement: [Vida Goldstein, electionCandidacyYear, 1903]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electionCandidacyYear Context triple: [Vida Goldstein, electionCandidacyYear, 1903]
-
A.
candidacyYear
chosen
Indicates the specific year in which an entity is a candidate for a position, office, award, or similar selection process.
-
B.
yearOfPresidentialNomination
Indicates the specific year in which an individual was formally nominated as a presidential candidate.
-
C.
senateCampaignYear
Indicates the year in which a given entity’s campaign for a seat in the senate took place.
-
D.
campaignYear
Indicates the specific year in which a campaign takes place, is launched, or is associated with an entity.
-
E.
yearOfPresidentialBid
Indicates the specific year in which an individual made a bid or campaign to become president.
- 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_69efb52275788190ae5181ccebef18ce |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fcf1b3d9a08190850b388308656266 |
completed | May 7, 2026, 8:10 p.m. |
| PD | Predicate disambiguation | batch_69fcf0226d8c8190b23dceafb1794995 |
completed | May 7, 2026, 8:03 p.m. |
Created at: April 27, 2026, 11:21 p.m.