Triple

T17490211
Position Surface form Disambiguated ID Type / Status
Subject Johnny Hallyday E425883 entity
Predicate spouse P13 FINISHED
Object Babeth Étienne
Babeth Étienne is a French actress known for her work in film and television in the late 20th century.
E1272371 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: Babeth Étienne | Statement: [Johnny Hallyday, spouse, Babeth Étienne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babeth Étienne
Context triple: [Johnny Hallyday, spouse, Babeth Étienne]
  • A. Anne Lauvergeon
    Anne Lauvergeon is a French business executive best known for leading the nuclear energy company Areva and for her prominent role in France’s industrial and energy sectors.
  • B. Victoire Thivisol
    Victoire Thivisol is a French actress best known for her acclaimed childhood performances in films such as "Ponette" and the romantic comedy-drama "Chocolat."
  • C. Martine Alexis
    Martine Alexis is known as the spouse of actor Sebastian Shaw, who portrayed Anakin Skywalker in "Return of the Jedi."
  • D. Giselle Itié
    Giselle Itié is a Brazilian-Mexican actress known for her work in Brazilian television and film as well as roles in international action movies.
  • E. Lizette Hermant
    Lizette Hermant was the wife of broadcasting pioneer and RCA leader David Sarnoff.
  • 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: Babeth Étienne
Triple: [Johnny Hallyday, spouse, Babeth Étienne]
Generated description
Babeth Étienne is a French actress known for her work in film and television in the late 20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Babeth Étienne
Target entity description: Babeth Étienne is a French actress known for her work in film and television in the late 20th century.
  • A. Anne Lauvergeon
    Anne Lauvergeon is a French business executive best known for leading the nuclear energy company Areva and for her prominent role in France’s industrial and energy sectors.
  • B. Victoire Thivisol
    Victoire Thivisol is a French actress best known for her acclaimed childhood performances in films such as "Ponette" and the romantic comedy-drama "Chocolat."
  • C. Martine Alexis
    Martine Alexis is known as the spouse of actor Sebastian Shaw, who portrayed Anakin Skywalker in "Return of the Jedi."
  • D. Giselle Itié
    Giselle Itié is a Brazilian-Mexican actress known for her work in Brazilian television and film as well as roles in international action movies.
  • E. Lizette Hermant
    Lizette Hermant was the wife of broadcasting pioneer and RCA leader David Sarnoff.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d519488190a08da1b529c08445 completed April 19, 2026, 3:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c200db048190a895c6060b3575d8 completed May 11, 2026, 11:48 a.m.
NEDg Description generation batch_6a01c3881f6081908f13c4033933b252 completed May 11, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a01c41859008190b786bdc2c09f24d1 completed May 11, 2026, 11:57 a.m.
Created at: April 10, 2026, 5:48 a.m.