Triple
T24730326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 French presidential election |
E618264
|
entity |
| Predicate | mainRightWingCandidate |
P104920
|
FINISHED |
| Object | Nicolas Sarkozy |
—
|
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: Nicolas Sarkozy | Statement: [2007 French presidential election, mainRightWingCandidate, Nicolas Sarkozy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainRightWingCandidate Context triple: [2007 French presidential election, mainRightWingCandidate, Nicolas Sarkozy]
-
A.
mainRightWingLeader
Indicates that the subject is the primary leader of a right-wing political group, party, or movement associated with the object.
-
B.
farRightCandidate
Indicates that the subject is a political candidate aligned with far-right ideologies or positions.
-
C.
mainRightCandidate
chosen
Indicates that an entity is the primary or preferred candidate positioned on the right side relative to another reference entity or context.
-
D.
mainRightWingParty
Indicates that the subject is the primary or most prominent right-wing political party within a given political system or context.
-
E.
ranPresidentialCandidate
Indicates that the subject has been a candidate in a presidential election.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:02 a.m.