Triple
T10248389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mathieu Amalric |
E240278
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mathieu Amalric |
E240278
|
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: Mathieu Amalric | Statement: [Mathieu Amalric, name, Mathieu Amalric]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mathieu Amalric Context triple: [Mathieu Amalric, name, Mathieu Amalric]
-
A.
Mathieu Amalric
chosen
Mathieu Amalric is a French actor and filmmaker known for his versatile performances in European cinema and international films such as "The Diving Bell and the Butterfly" and "Quantum of Solace."
-
B.
Alain Attal
Alain Attal is a French film producer known for his work on numerous acclaimed contemporary French movies.
-
C.
Guillaume Canet
Guillaume Canet is a French actor, director, and screenwriter known for films such as "Tell No One" and "Little White Lies."
-
D.
Daniel Auteuil
Daniel Auteuil is a renowned French film and stage actor acclaimed for his versatile performances in both popular cinema and auteur-driven dramas.
-
E.
James Thierrée
James Thierrée is a Swiss-born actor, director, and contemporary circus performer known for his inventive, physical, and often surreal stage productions that blend mime, dance, and acrobatics.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23b620c8190b8a72d0eb0d16b93 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f7ade8448190830d950b7cee0c34 |
completed | April 9, 2026, 12:49 a.m. |
Created at: April 6, 2026, 11:27 a.m.