Triple
T25517984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Carolina Democratic primary |
E639560
|
entity |
| Predicate | winner2008 |
P122073
|
FINISHED |
| Object | Barack Obama |
—
|
NE NERFINISHED |
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: Barack Obama | Statement: [South Carolina Democratic primary, winner2008, Barack Obama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winner2008 Context triple: [South Carolina Democratic primary, winner2008, Barack Obama]
-
A.
electionWinner
chosen
Indicates that the subject is the candidate who received the highest support and officially won a particular election.
-
B.
democraticNominee
Indicates that one entity is the officially selected Democratic Party candidate for the position or role associated with the other entity.
-
C.
has2020Winner
Indicates that a given competition, award, or event is associated with the entity that won it in the year 2020.
-
D.
ranPresidentialCandidate
Indicates that the subject has been a candidate in a presidential election.
-
E.
successorAsPresidentElectOpponent
Indicates that one person became the next presidential candidate (president-elect) opposing the same party or candidate that another person had previously opposed.
- 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_69e75dbe32e48190a62d749a0ff2a96a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f8339a8081908738ba23158091c9 |
completed | May 2, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69f49377411c8190b2188de444d76795 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 2:57 p.m.