Triple
T2419112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gérard Huet |
E52376
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Gilles Dowek |
E46385
|
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: Gilles Dowek | Statement: [Gérard Huet, notableStudent, Gilles Dowek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gilles Dowek Context triple: [Gérard Huet, notableStudent, Gilles Dowek]
-
A.
Gilles Dowek
chosen
Gilles Dowek is a French logician and computer scientist known for his influential work in proof theory, type systems, and automated deduction.
-
B.
Thierry Coquand
Thierry Coquand is a French logician and computer scientist known for his work on type theory, constructive mathematics, and the development of the calculus of constructions.
-
C.
Gordon Plotkin
Gordon Plotkin is a British computer scientist renowned for his foundational contributions to programming language semantics and domain theory.
-
D.
Luca Cardelli
Luca Cardelli is an Italian computer scientist known for his influential work in type theory, programming language design, and the development of the Modula-3 and Polyphonic C# languages.
-
E.
Markus Wenzel
Markus Wenzel is a computer scientist best known as the primary developer of the Isabelle proof assistant.
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc96e1b3881909de57501b5d4099a |
completed | March 7, 2026, 6:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0a299648190a55e9f2c47bd307f |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:42 p.m.