Triple

T9233865
Position Surface form Disambiguated ID Type / Status
Subject Serge Gainsbourg E221885 entity
Predicate child P120 FINISHED
Object Natacha Ginsburg
Natacha Ginsburg is a French woman best known as one of the daughters of iconic singer-songwriter and provocateur Serge Gainsbourg.
 E787459 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: Natacha Ginsburg | Statement: [Serge Gainsbourg, child, Natacha Ginsburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Natacha Ginsburg
Context triple: [Serge Gainsbourg, child, Natacha Ginsburg]
  • A. Maria Nuzberg
    Maria Nuzberg was the wife of Vasily Stalin, the son of Soviet leader Joseph Stalin.
  • B. Marianne Segal
    Marianne Segal is best known as the wife of late American actor George Segal, with whom she shared a long-term marriage later in his life.
  • C. Leila Gerstein
    Leila Gerstein is an American television writer and producer best known for creating the comedy-drama series "Hart of Dixie."
  • D. Ruth Perelman
    Ruth Perelman was an American philanthropist known for her major charitable contributions to education, medicine, and the arts, often in partnership with her husband, businessman Raymond G. Perelman.
  • E. Daphne Kluger
    Daphne Kluger is a glamorous, high-profile actress and the unsuspecting target of the jewel heist in the film "Ocean's 8."
  • 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: Natacha Ginsburg
Triple: [Serge Gainsbourg, child, Natacha Ginsburg]
Generated description
Natacha Ginsburg is a French woman best known as one of the daughters of iconic singer-songwriter and provocateur Serge Gainsbourg.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Natacha Ginsburg
Target entity description: Natacha Ginsburg is a French woman best known as one of the daughters of iconic singer-songwriter and provocateur Serge Gainsbourg.
  • A. Maria Nuzberg
    Maria Nuzberg was the wife of Vasily Stalin, the son of Soviet leader Joseph Stalin.
  • B. Marianne Segal
    Marianne Segal is best known as the wife of late American actor George Segal, with whom she shared a long-term marriage later in his life.
  • C. Leila Gerstein
    Leila Gerstein is an American television writer and producer best known for creating the comedy-drama series "Hart of Dixie."
  • D. Ruth Perelman
    Ruth Perelman was an American philanthropist known for her major charitable contributions to education, medicine, and the arts, often in partnership with her husband, businessman Raymond G. Perelman.
  • E. Daphne Kluger
    Daphne Kluger is a glamorous, high-profile actress and the unsuspecting target of the jewel heist in the film "Ocean's 8."
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccee1baa3c8190870d1e850ccab1e0 completed April 1, 2026, 10:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077c31f588190bae2af98e3b71c38 completed April 4, 2026, 2:30 a.m.
NEDg Description generation batch_69d07bc3c5cc8190a35561279ff0f1a2 completed April 4, 2026, 2:47 a.m.
NED2 Entity disambiguation (via description) batch_69d07c725a0c8190bf905461a38ef65e completed April 4, 2026, 2:50 a.m.
Created at: March 30, 2026, 7:29 p.m.