Triple
T17289532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antoine Dupont |
E419747
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Antoine Dupont |
E419747
|
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: Antoine Dupont | Statement: [Antoine Dupont, name, Antoine Dupont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antoine Dupont Context triple: [Antoine Dupont, name, Antoine Dupont]
-
A.
Antoine Dupont
chosen
Antoine Dupont is a French rugby union scrum-half widely regarded as one of the best players in the world and a key figure for both Toulouse and the French national team.
-
B.
Romain Grange
Romain Grange is a French professional footballer known for playing as a midfielder in the French football leagues.
-
C.
Jordy Deschamps
Jordy Deschamps is a writer known for his work on the project or publication titled "#Selfie."
-
D.
Albert Dupontel
Albert Dupontel is a French actor, screenwriter, and film director known for his darkly comic, inventive films such as "9 Month Stretch" and "Bye Bye Morons."
-
E.
Sebastien Chabal
Sébastien Chabal is a retired French rugby union forward famed for his powerful running, ferocious tackling, and iconic bearded appearance, making him one of the sport’s most recognizable figures.
- 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_69d886db32608190a61e18862c5a8af6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e43782b7ac8190b702567e9ccf9a35 |
completed | April 19, 2026, 2:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a017957c738819087341bcd51b55114 |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.