Triple

T16876023
Position Surface form Disambiguated ID Type / Status
Subject Violette Nozière E421300 entity
Predicate screenwriter P2831 FINISHED
Object Odile Barski
Odile Barski is a French screenwriter known for her work on films such as "Violette Nozière."
E1258163 NE FINISHED

How this triple was built (4 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: [Violette Nozière, screenwriter, Odile Barski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Odile Barski
Context triple: [Violette Nozière, screenwriter, Odile Barski]
  • A. Séverine Lerczinska
    Séverine Lerczinska is a French actress best known for her role in the classic 1932 film "Boudu Saved from Drowning."
  • B. Eliette Mouret
    Eliette Mouret is a French former fashion model and artist best known as the wife of renowned Austrian conductor Herbert von Karajan.
  • C. Eliette Mouret
    Eliette Mouret is a relatively obscure individual whose publicly available information is minimal and not widely documented.
  • D. Eugénie Risler
    Eugénie Risler was the wife of prominent French statesman and education reformer Jules Ferry.
  • E. Séverine Serizy
    Séverine Serizy is the bourgeois housewife and enigmatic protagonist of Luis Buñuel’s film "Belle de Jour," known for leading a double life as a daytime prostitute while struggling with her repressed desires.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Odile Barski
Triple: [Violette Nozière, screenwriter, Odile Barski]
Generated description
Odile Barski is a French screenwriter known for her work on films such as "Violette Nozière."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Odile Barski
Target entity description: Odile Barski is a French screenwriter known for her work on films such as "Violette Nozière."
  • A. Séverine Lerczinska
    Séverine Lerczinska is a French actress best known for her role in the classic 1932 film "Boudu Saved from Drowning."
  • B. Eliette Mouret
    Eliette Mouret is a French former fashion model and artist best known as the wife of renowned Austrian conductor Herbert von Karajan.
  • C. Eliette Mouret
    Eliette Mouret is a relatively obscure individual whose publicly available information is minimal and not widely documented.
  • D. Eugénie Risler
    Eugénie Risler was the wife of prominent French statesman and education reformer Jules Ferry.
  • E. Séverine Serizy
    Séverine Serizy is the bourgeois housewife and enigmatic protagonist of Luis Buñuel’s film "Belle de Jour," known for leading a double life as a daytime prostitute while struggling with her repressed desires.
  • F. None of above. chosen

Provenance (5 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_6a01673ba0e08190a988847fa7ad8e50 completed May 11, 2026, 5:20 a.m.
NEDg Description generation batch_6a016c240f7c8190a564b07ada96c88f completed May 11, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_6a016c6e27a081908271c56073fd374b completed May 11, 2026, 5:43 a.m.
Created at: April 10, 2026, 5:29 a.m.