Triple
T22051856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Les Ripoux |
E544903
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Nicole Saunier |
—
|
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: Nicole Saunier | Statement: [Les Ripoux, editedBy, Nicole Saunier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicole Saunier Context triple: [Les Ripoux, editedBy, Nicole Saunier]
-
A.
Nicole Saunier
chosen
Nicole Saunier is a film editor known for her work on the French comedy film "La Totale!".
-
B.
Nathalie Descamps
Nathalie Descamps is a Belgian badminton player known for competing internationally in women's and mixed doubles events.
-
C.
Nathalie Cresson
Nathalie Cresson is the daughter of Édith Cresson, the former Prime Minister of France.
-
D.
Monique Teisseire
Monique Teisseire is a film editor best known for her work on the classic French musical drama "The Umbrellas of Cherbourg."
-
E.
Clémentine Poidatz
Clémentine Poidatz is a French actress known for her role in the National Geographic science-fiction drama series "Mars."
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285513fc8190b691e1f57085956f |
completed | April 28, 2026, 9:36 p.m. |
Created at: April 16, 2026, 8:26 p.m.