Triple
T11240361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thierry Burkhard |
E266056
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Thierry Burkhard |
E266056
|
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: Thierry Burkhard | Statement: [Thierry Burkhard, name, Thierry Burkhard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thierry Burkhard Context triple: [Thierry Burkhard, name, Thierry Burkhard]
-
A.
Thierry Burkhard
chosen
Thierry Burkhard is a French Army general who has served as France’s top military officer and a key figure in shaping the country’s contemporary defense policy and armed forces.
-
B.
Didier Aldigier
Didier Aldigier is a French local politician serving as the mayor of the commune of Pont-de-l’Isère in southeastern France.
-
C.
Philippe Knoche
Philippe Knoche is a French business executive best known for leading the nuclear energy group Areva through a major restructuring of France’s atomic industry.
-
D.
Thierry Arbogast
Thierry Arbogast is a French cinematographer renowned for his long-standing collaboration with director Luc Besson on visually distinctive films.
-
E.
Thierry Delaporte
Thierry Delaporte is a French business executive best known as the CEO and Managing Director of Indian IT services giant Wipro.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e919eaf48190a1457851cfc56afb |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3049e788190a7caf324a4b793d2 |
completed | April 20, 2026, 7:17 a.m. |
Created at: April 8, 2026, 9:30 p.m.