Triple
T36217246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Directoire français |
E1047732
|
entity |
| Predicate | nombreDeDirecteurs |
P22877
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Directoire français, nombreDeDirecteurs, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nombreDeDirecteurs Context triple: [Directoire français, nombreDeDirecteurs, 5]
-
A.
directors
Indicates that one entity serves as a director (or is on the board) of another entity, such as an organization or company.
-
B.
directorsOfFilm
Indicates the person or people who directed a given film.
-
C.
numberOfDirectors
chosen
Indicates the total count of directors associated with a given entity.
-
D.
hasDirectorOfWork
Indicates that an entity has a specific person or organization serving as the director responsible for overseeing its work or project.
-
E.
directorFullName
Indicates that the predicate specifies the complete name of the person who serves as the director in the described relationship or context.
- 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_69f76e42c878819095c8d19c0267fb87 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b57e4d788190b8dbcb178a0fe285 |
completed | May 3, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c44390819084fb5558b354658f |
completed | May 3, 2026, 8:49 p.m. |
Created at: May 3, 2026, 4:09 p.m.