Triple
T18139975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samba |
E434234
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Éric Toledano |
—
|
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: Éric Toledano | Statement: [Samba, screenwriter, Éric Toledano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Éric Toledano Context triple: [Samba, screenwriter, Éric Toledano]
-
A.
Éric Toledano
chosen
Éric Toledano is a French film director and screenwriter best known for co-directing the internationally acclaimed comedy-drama "The Intouchables."
-
B.
René Garriguenc
René Garriguenc was a television composer best known for contributing music to classic series such as The Twilight Zone.
-
C.
Antoine Parra
Antoine Parra is a French local politician who serves as the mayor of the coastal commune of Argelès-sur-Mer in southern France.
-
D.
Jean-Marc Luisada
Jean-Marc Luisada is a French classical pianist renowned for his poetic interpretations of Chopin and other Romantic repertoire.
-
E.
Éric Le Dissès
Éric Le Dissès is a French politician known for serving as the mayor of the town of Marignane in southern France.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de0a59d08190be74c1ecc00a8f3a |
completed | April 19, 2026, 1:52 p.m. |
Created at: April 10, 2026, 10:29 a.m.