Triple

T19657981
Position Surface form Disambiguated ID Type / Status
Subject Michel Berger E471998 entity
Predicate mother P120 FINISHED
Object Annette Haas
Annette Haas is best known as the mother of French singer-songwriter and composer Michel Berger.
E1394660 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: Annette Haas | Statement: [Michel Berger, mother, Annette Haas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annette Haas
Context triple: [Michel Berger, mother, Annette Haas]
  • A. Christl Haas
    Christl Haas was an Austrian alpine skier and Olympic gold medalist renowned for her dominance in downhill events during the 1960s.
  • B. Annette Ziegler
    Annette Ziegler is an American jurist who serves as the Chief Justice of the Wisconsin Supreme Court.
  • C. Luisa Haag
    Luisa Haag was the mother of the 19th-century Russian writer and political thinker Alexander Herzen.
  • D. Annette Haffner
    Annette Haffner was the wife of renowned Polish pianist and influential piano teacher Theodor Leschetizky.
  • E. Annette Bruhn
    Annette Bruhn is a notable individual who bears the surname Bruhn, recognized for her contributions associated with that family name.
  • 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: Annette Haas
Triple: [Michel Berger, mother, Annette Haas]
Generated description
Annette Haas is best known as the mother of French singer-songwriter and composer Michel Berger.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Annette Haas
Target entity description: Annette Haas is best known as the mother of French singer-songwriter and composer Michel Berger.
  • A. Christl Haas
    Christl Haas was an Austrian alpine skier and Olympic gold medalist renowned for her dominance in downhill events during the 1960s.
  • B. Annette Ziegler
    Annette Ziegler is an American jurist who serves as the Chief Justice of the Wisconsin Supreme Court.
  • C. Luisa Haag
    Luisa Haag was the mother of the 19th-century Russian writer and political thinker Alexander Herzen.
  • D. Annette Haffner
    Annette Haffner was the wife of renowned Polish pianist and influential piano teacher Theodor Leschetizky.
  • E. Annette Bruhn
    Annette Bruhn is a notable individual who bears the surname Bruhn, recognized for her contributions associated with that family name.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641475f408190bd42ef3f8d590719 completed April 20, 2026, 3:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd535c788190b69cb40d97834e4c completed May 16, 2026, 12:41 a.m.
NEDg Description generation batch_6a07be450e608190a008095b0502b2d3 completed May 16, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a07bed4c8d8819094fafce7eee69ee7 completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:45 p.m.