Triple
T25517988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Carolina Democratic primary |
E639560
|
entity |
| Predicate | winner1992 |
P160866
|
FINISHED |
| Object | Bill Clinton |
—
|
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: Bill Clinton | Statement: [South Carolina Democratic primary, winner1992, Bill Clinton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winner1992 Context triple: [South Carolina Democratic primary, winner1992, Bill Clinton]
-
A.
ownedWinnerOf
Indicates that an entity owns or possesses the winner of a specified competition, contest, or event.
-
B.
champion1949
Indicates that an entity won a championship or major title in the year 1949.
-
C.
champion1948
Indicates that an entity won a championship or major title in the year 1948.
-
D.
winnerDam
Indicates that the subject entity is the dam (mother) of an offspring that has won a specified race or competition.
-
E.
champion1947
Indicates that an entity was the champion (winner of a competition or title) in the year 1947.
- 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_69e75dbe32e48190a62d749a0ff2a96a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f60ac643108190ae81561267155791 |
completed | May 2, 2026, 2:31 p.m. |
| PD | Predicate disambiguation | batch_69f602ce79ec8190b8336c2b9de18ac7 |
completed | May 2, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69f606c15af88190958856a9e467b826 |
completed | May 2, 2026, 2:14 p.m. |
Created at: April 21, 2026, 2:57 p.m.