Triple
T24730330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 French presidential election |
E618264
|
entity |
| Predicate | farLeftCandidate |
P157050
|
FINISHED |
| Object | Olivier Besancenot |
—
|
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: Olivier Besancenot | Statement: [2007 French presidential election, farLeftCandidate, Olivier Besancenot]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: farLeftCandidate Context triple: [2007 French presidential election, farLeftCandidate, Olivier Besancenot]
-
A.
mainRightCandidate
Indicates that an entity is the primary or preferred candidate positioned on the right side relative to another reference entity or context.
-
B.
featuredCandidate
Indicates that a particular candidate is highlighted or given special prominence relative to others.
-
C.
firstBallotCandidate
Indicates that the entity was a candidate in the first ballot of an election or selection process.
-
D.
leftPosition
Indicates that one entity is located to the left side of another entity in space or ordering.
-
E.
mainFarRightParty
Indicates that a political party is the primary or most prominent far-right party within a given political system or context.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410fc18808190b4e47d5a71d3a126 |
completed | May 1, 2026, 2:33 a.m. |
Created at: April 18, 2026, 4:02 a.m.