Triple
T23044085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xavier Beauvois |
E573825
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Xavier Beauvois |
—
|
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: Xavier Beauvois | Statement: [Xavier Beauvois, name, Xavier Beauvois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xavier Beauvois Context triple: [Xavier Beauvois, name, Xavier Beauvois]
-
A.
Xavier Beauvois
chosen
Xavier Beauvois is a French film director, screenwriter, and actor best known for his critically acclaimed drama "Of Gods and Men."
-
B.
Olivier Poitrey
Olivier Poitrey is a French entrepreneur and software engineer best known as a co-founder of the video-sharing platform Dailymotion.
-
C.
Olivier Adam
Olivier Adam is a contemporary French novelist and screenwriter known for his introspective, socially engaged works often exploring themes of marginalization and personal crisis.
-
D.
Nicolas Duvauchelle
Nicolas Duvauchelle is a French actor known for his intense performances in film and television, often in gritty crime dramas and character-driven roles.
-
E.
Christophe Lambert
Christophe Lambert is a French-American actor best known for his roles in films such as "Highlander" and "Greystoke: The Legend of Tarzan, Lord of the Apes."
- 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_69e245b9c11481909d06c872214d21af |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18517083c8190a0850da5440e0a73 |
completed | April 29, 2026, 4:12 a.m. |
Created at: April 17, 2026, 3:54 p.m.