Triple
T17038800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernard Kouchner |
E413388
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kouchner |
E413388
|
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: Kouchner | Statement: [Bernard Kouchner, familyName, Kouchner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kouchner Context triple: [Bernard Kouchner, familyName, Kouchner]
-
A.
Rocard
Rocard is a French surname most notably associated with Michel Rocard, a former Prime Minister of France and prominent Socialist politician.
-
B.
Bernard Kouchner
chosen
Bernard Kouchner is a French physician, humanitarian, and politician best known as a co-founder of Médecins Sans Frontières (Doctors Without Borders) and a prominent advocate for humanitarian intervention.
-
C.
Jean-Pierre Kahane
Jean-Pierre Kahane was a French mathematician known for his influential work in harmonic analysis, probability theory, and the geometry of Banach spaces.
-
D.
Maurice Bénichou
Maurice Bénichou was a French actor known for his nuanced supporting roles in acclaimed films such as Michael Haneke’s "Caché" and Jean-Pierre Jeunet’s "Amélie."
-
E.
Meyssac
Meyssac is a small historic commune in central France’s Corrèze department, noted for its red sandstone buildings and traditional rural character.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f45f84819092cfb27cc33da026 |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b5ceb048190a7f6cf2361360f90 |
completed | May 10, 2026, 11:57 p.m. |
Created at: April 10, 2026, 5:33 a.m.