Triple
T25131813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gérard Larcher |
E629541
|
entity |
| Predicate | wasAlsoPresidentOfSenate |
P25169
|
FINISHED |
| Object | 2008–2011 |
—
|
LITERAL FINISHED |
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: 2008–2011 | Statement: [Gérard Larcher, wasAlsoPresidentOfSenate, 2008–2011]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasAlsoPresidentOfSenate Context triple: [Gérard Larcher, wasAlsoPresidentOfSenate, 2008–2011]
-
A.
PresidentOfTheSenate
chosen
Indicates that one entity holds the official role or office of presiding over and leading the sessions and proceedings of a senate.
-
B.
precededInSenateBy
Indicates that one officeholder directly held a given Senate seat before another officeholder, in terms of succession to that seat.
-
C.
presidentOfSenateCofounder
Indicates that an individual both serves as president of a senate and is a cofounder of the associated organization or institution.
-
D.
succeededInOfficeAsSenatorBy
Indicates that one senator left office and was directly followed in that same senatorial position by another specific senator.
-
E.
hasFormerSenator
Indicates that an entity previously held the position of senator for another entity (such as a state, country, or organization).
- 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_69f465f9abe48190863be7824dcbd48c |
completed | May 1, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:28 a.m.