Triple
T27342789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seine-Maritime's 7th constituency |
E684153
|
entity |
| Predicate | notableDeputy |
P5750
|
FINISHED |
| Object | Édouard Philippe |
—
|
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: Édouard Philippe | Statement: [Seine-Maritime's 7th constituency, notableDeputy, Édouard Philippe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDeputy Context triple: [Seine-Maritime's 7th constituency, notableDeputy, Édouard Philippe]
-
A.
deputyOf
Indicates that one entity serves as the subordinate or second-in-command to another, acting with delegated authority on their behalf.
-
B.
notableOfficer
Indicates that an entity has served as a significant or distinguished officer of another entity, such as an organization, institution, or group.
-
C.
notableDelegate
Indicates that an entity serves as a significant or distinguished representative or delegate for another entity or group.
-
D.
notableCabinetMember
Indicates that a person has served as a particularly prominent or significant member of a government cabinet.
-
E.
notableOfficeHolder
chosen
Indicates that an entity is a significant or distinguished holder of a particular office or position associated with another entity.
- 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_69ef1480a76481908684256ddd5bfda3 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69ffbe9e47688190a2692566dc326646 |
completed | May 9, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69ffbb7b45388190b62cbde5c2d435cd |
completed | May 9, 2026, 10:55 p.m. |
Created at: April 27, 2026, 11:43 a.m.