Triple
T16889176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guy Novès |
E421619
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Guy Novès |
E421619
|
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: Guy Novès | Statement: [Guy Novès, name, Guy Novès]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guy Novès Context triple: [Guy Novès, name, Guy Novès]
-
A.
Guy Novès
chosen
Guy Novès is a highly successful French rugby union coach and former player, best known for leading Stade Toulousain to numerous domestic and European titles.
-
B.
Laurent Grangeon
Laurent Grangeon is a musician best known as a member of the rock band Wakrat.
-
C.
Didier Hoarau
Didier Hoarau is a film producer known for his work on the action thriller movie "Taken."
-
D.
Laurent Joubert
Laurent Joubert was a 16th-century French physician and writer known for his influential medical texts and his role as personal doctor to King Charles IX.
-
E.
Thierry Dusautoir
Thierry Dusautoir is a former French rugby union flanker renowned for captaining France, his exceptional tackling work rate, and his key role in major international and club successes.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc3b5188190ac713b4d4166e961 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2c1eee48190bc906e658d7729a4 |
completed | May 10, 2026, 5:39 p.m. |
Created at: April 10, 2026, 5:29 a.m.