Triple
T3266541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Darius Khondji |
E68540
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | IDHEC |
E171627
|
NE 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: IDHEC | Statement: [Darius Khondji, educatedAt, IDHEC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IDHEC Context triple: [Darius Khondji, educatedAt, IDHEC]
-
A.
IDHEC
chosen
IDHEC (Institut des hautes études cinématographiques) was a prestigious French film school in Paris that trained many notable filmmakers and industry professionals.
-
B.
INSPE Centre-Val de Loire
INSPE Centre-Val de Loire is a French higher education institute specializing in teacher training and education sciences, serving the Centre-Val de Loire region.
-
C.
Carcassonne Agglo
Carcassonne Agglo is an intercommunal urban community centered around the city of Carcassonne in southern France, coordinating local governance and development across multiple neighboring municipalities.
-
D.
Saclay
Saclay is a French commune in the Île-de-France region, known for hosting part of the Paris-Saclay research and university cluster.
-
E.
INSERM
INSERM is France’s national public research institute dedicated to human health and medical research.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafce46dc8190a157e4f5012baed5 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28eed68c08190994376bfbfeae949 |
completed | March 12, 2026, 10:01 a.m. |
Created at: March 8, 2026, 3:09 p.m.