Triple
T25517986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Carolina Democratic primary |
E639560
|
entity |
| Predicate | winner2020 |
P86043
|
FINISHED |
| Object | Joe Biden |
—
|
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: Joe Biden | Statement: [South Carolina Democratic primary, winner2020, Joe Biden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winner2020 Context triple: [South Carolina Democratic primary, winner2020, Joe Biden]
-
A.
has2020Winner
chosen
Indicates that a given competition, award, or event is associated with the entity that won it in the year 2020.
-
B.
2022Winner
Indicates that the subject is the entity that won a specified competition, award, or event in the year 2022.
-
C.
competitionWinnerFor
Indicates that an entity is the winner of a specified competition or contest.
-
D.
ownedWinnerOf
Indicates that an entity owns or possesses the winner of a specified competition, contest, or event.
-
E.
winnerDam
Indicates that the subject entity is the dam (mother) of an offspring that has won a specified race or competition.
- 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_69f5afd5baac8190bb8ed576813c8591 |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 2:57 p.m.