Triple
T25131870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of the Senate of France |
E629542
|
entity |
| Predicate | notableActingPresidentsOfFrance |
P75716
|
FINISHED |
| Object | Alain Poher |
—
|
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: Alain Poher | Statement: [President of the Senate of France, notableActingPresidentsOfFrance, Alain Poher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableActingPresidentsOfFrance Context triple: [President of the Senate of France, notableActingPresidentsOfFrance, Alain Poher]
-
A.
notableLeaderFrance
Indicates that the subject is recognized as a notable leader associated with France.
-
B.
heldOfficeOfPresidentOfFrance
chosen
Indicates that a person has served as the President of France in an official capacity.
-
C.
notablePresidentDuring
Indicates that one entity is recognized as a notable president serving during the time period associated with another entity.
-
D.
notableHeadOfState
Indicates that an individual is a particularly prominent or historically significant head of state of a given country or political entity.
-
E.
officeHoldersTitleInFrench
Indicates that an office holder’s official title is expressed in the French language.
- 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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
Created at: April 18, 2026, 6:28 a.m.