Triple
T20347679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sexe fort |
E495914
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Philippe Osman |
—
|
NE NERFINISHED |
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: Philippe Osman | Statement: [Sexe fort, producer, Philippe Osman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Philippe Osman Context triple: [Sexe fort, producer, Philippe Osman]
-
A.
Philippe Osman
chosen
Philippe Osman is a music producer known for his work on Vanessa Paradis's acclaimed album "Divinidylle."
-
B.
Philippe Bober
Philippe Bober is a European film producer known for backing distinctive arthouse and auteur-driven cinema.
-
C.
Frédéric Bricout
Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
-
D.
Florian Lejeune
Florian Lejeune is a French professional footballer known for his role as a central defender in top European leagues, including La Liga and the Premier League.
-
E.
Philippe Hugon
Philippe Hugon is a character in the anime and manga series "Nana," appearing within its dramatic story of music, relationships, and youth in Tokyo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67839e7b48190876ce7133a20c65b |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:24 a.m.