Triple
T10016124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benoit Dageville |
E199499
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Benoit Dageville |
E199499
|
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: Benoit Dageville | Statement: [Benoit Dageville, name, Benoit Dageville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benoit Dageville Context triple: [Benoit Dageville, name, Benoit Dageville]
-
A.
Benoit Dageville
chosen
Benoit Dageville is a French computer scientist and entrepreneur best known as a co-founder of the cloud data platform company Snowflake.
-
B.
Roger Degueldre
Roger Degueldre was a French Army officer best known as a leading figure and commando leader in the pro–French Algeria paramilitary underground during the Algerian War.
-
C.
Rudy Bourgarel
Rudy Bourgarel is a former French basketball player best known as the father of NBA star Rudy Gobert.
-
D.
André Dewavrin
André Dewavrin was a French military officer and intelligence leader best known for organizing and directing Free French secret services and resistance operations during World War II.
-
E.
Sébastien Jodogne
Sébastien Jodogne is a free software developer best known for creating the open-source medical imaging platform Orthanc and for his significant contributions to open healthcare technologies.
- 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_69ca8315a1a08190ab310f25620f362b |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd4ad3348190bae03cd37c787674 |
completed | April 2, 2026, 1:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90d54c32c8190b175a30c7c905cd2 |
completed | April 10, 2026, 2:46 p.m. |
Created at: March 30, 2026, 8:52 p.m.