Triple
T12361275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Death and the Maiden |
E294741
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Hervé de Luze |
—
|
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: Hervé de Luze | Statement: [Death and the Maiden, editor, Hervé de Luze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hervé de Luze Context triple: [Death and the Maiden, editor, Hervé de Luze]
-
A.
Hervé de Luze
chosen
Hervé de Luze is a French film editor renowned for his long-standing collaborations with directors such as Roman Polanski and Alain Resnais.
-
B.
Louis Soubrier
Louis Soubrier is a French individual best known to the public as the former partner of actress Virginie Ledoyen.
-
C.
Louis Boisot
Louis Boisot was a Dutch nobleman and admiral of the Sea Beggars who played a key role in the Dutch Revolt by helping to relieve the besieged city of Leiden in 1574.
-
D.
Marc Gricourt
Marc Gricourt is a French politician who serves as the mayor of the city of Blois.
-
E.
Jean-Pierre Bouyxou
Jean-Pierre Bouyxou is a French writer, film critic, and underground cinema figure associated with surrealism and experimental film culture.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f91a1908190a8a4fa9da3b47933 |
completed | April 10, 2026, 6:21 p.m. |
Created at: April 8, 2026, 9:54 p.m.