Triple
T26033333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | June 1968 French legislative election |
E647488
|
entity |
| Predicate | otherMajorPartyLeader |
P162617
|
FINISHED |
| Object | Jean Lecanuet |
—
|
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: Jean Lecanuet | Statement: [June 1968 French legislative election, otherMajorPartyLeader, Jean Lecanuet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: otherMajorPartyLeader Context triple: [June 1968 French legislative election, otherMajorPartyLeader, Jean Lecanuet]
-
A.
otherMajorPartyLeader
chosen
Indicates that one person is the leader of a different major political party than the other person.
-
B.
oppositionLeader
Indicates that one entity serves as the primary political leader of the opposition in relation to another governing entity.
-
C.
majorParty4Leader
Indicates that the subject is the leader of a fourth major political party in a given political system or context.
-
D.
politicalPartyLeader
Indicates that one entity serves as the leader or head of a specified political party.
-
E.
partyGovernmentLeader
Indicates that the person is the leader of a political party that is currently forming or heading the government.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 22, 2026, 9:06 a.m.