Triple
T3878350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ker-Xavier Roussel |
E92559
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ker-Xavier Roussel |
E92559
|
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: Ker-Xavier Roussel | Statement: [Ker-Xavier Roussel, name, Ker-Xavier Roussel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ker-Xavier Roussel Context triple: [Ker-Xavier Roussel, name, Ker-Xavier Roussel]
-
A.
Ker-Xavier Roussel
chosen
Ker-Xavier Roussel was a French Nabi painter known for his decorative, symbolist-influenced landscapes and intimate domestic scenes.
-
B.
Jérémy Chatelain
Jérémy Chatelain is a French singer, songwriter, and former reality TV contestant who gained fame after appearing on the show "Star Academy."
-
C.
Fabien Roussel
Fabien Roussel is a French politician who has served as the national secretary and presidential candidate of the French Communist Party.
-
D.
Julien BriseBois
Julien BriseBois is a Canadian ice hockey executive best known for building and leading the Tampa Bay Lightning into a modern NHL powerhouse and multiple-time Stanley Cup champion.
-
E.
Xavier Grobet
Xavier Grobet is a Mexican cinematographer known for his work on both independent and mainstream films, including the romantic comedy-drama "Enough Said."
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec72fa7c81909c73b3cf90597e9a |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c87214881908e03f5c770c58713 |
completed | March 14, 2026, 8:29 a.m. |
Created at: March 9, 2026, 3:20 p.m.