Triple
T16876196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L'Ivresse du pouvoir |
E421304
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Odile Barski |
E1258163
|
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: Odile Barski | Statement: [L'Ivresse du pouvoir, screenwriter, Odile Barski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Odile Barski Context triple: [L'Ivresse du pouvoir, screenwriter, Odile Barski]
-
A.
Odile Barski
chosen
Odile Barski is a French screenwriter known for her work on films such as "Violette Nozière."
-
B.
Séverine Lerczinska
Séverine Lerczinska is a French actress best known for her role in the classic 1932 film "Boudu Saved from Drowning."
-
C.
Eliette Mouret
Eliette Mouret is a French former fashion model and artist best known as the wife of renowned Austrian conductor Herbert von Karajan.
-
D.
Eliette Mouret
Eliette Mouret is a relatively obscure individual whose publicly available information is minimal and not widely documented.
-
E.
Eugénie Risler
Eugénie Risler was the wife of prominent French statesman and education reformer Jules Ferry.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f646308190b5e277b5f51cd315 |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170dd38708190b17cee0ab6cee6eb |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:29 a.m.