Triple
T26337565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean-Luc Marion |
E662559
|
entity |
| Predicate | académieFrançaiseSeatNumber |
P160257
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [Jean-Luc Marion, académieFrançaiseSeatNumber, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: académieFrançaiseSeatNumber Context triple: [Jean-Luc Marion, académieFrançaiseSeatNumber, 4]
-
A.
officeStartTime (Mayor of 7th arrondissement)
Indicates the time at which the Mayor of the 7th arrondissement officially begins their term in office.
-
B.
rankInFrenchPeerage
Indicates the hierarchical noble rank an entity holds within the French system of peerage.
-
C.
namedChairAt
Indicates that a person holds a specific named chair or endowed professorship position at an institution.
-
D.
faitPartieDuRépertoire
Indicates that something is included within or belongs to a particular directory or repertoire.
-
E.
faitPartieDuSystèmeAdministratif
Indicates that an entity belongs to or is included within a given administrative system.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60f6f261c8190805ba660d43edc1d |
completed | May 2, 2026, 2:51 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 10:37 p.m.