Triple
T2723795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyclef Jean |
E60141
|
entity |
| Predicate | yearOfPresidentialBid |
P41882
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Wyclef Jean, yearOfPresidentialBid, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfPresidentialBid Context triple: [Wyclef Jean, yearOfPresidentialBid, 2010]
-
A.
yearOfPresidentialNomination
Indicates the specific year in which an individual was formally nominated as a presidential candidate.
-
B.
wonPresidencyWith
Indicates that one entity attained the presidency by means of, or through the support, strategy, or circumstances provided by, another entity.
-
C.
reElectionYear
Indicates the year in which an entity is (or is scheduled to be) elected again to the same position or office.
-
D.
hasIncumbentPresidentCandidate
Indicates that a political entity (such as a party, election, or race) has a current office-holding president running as a candidate in that contest.
-
E.
ranPresidentialCandidate
Indicates that the subject has been a candidate in a presidential election.
- 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdacc0a6881909b64a4d22e1d7690 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82586f88190a98f60d3247fe2d3 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd949c120819099a9d56eb71a0339 |
completed | March 7, 2026, 7:52 a.m. |
Created at: March 6, 2026, 9:55 p.m.