Triple

T3135775
Position Surface form Disambiguated ID Type / Status
Subject Pierre Bérégovoy E65525 entity
Predicate familyName P18 FINISHED
Object Bérégovoy
Bérégovoy is the surname of Pierre Bérégovoy, a prominent French Socialist politician who served as Prime Minister of France in the early 1990s.
 E328897 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: Bérégovoy | Statement: [Pierre Bérégovoy, familyName, Bérégovoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bérégovoy
Context triple: [Pierre Bérégovoy, familyName, Bérégovoy]
  • A. Lopokova
    Lopokova is the surname of Lydia Lopokova, a renowned Russian ballerina associated with the Ballets Russes and later known for her marriage to economist John Maynard Keynes.
  • B. Gergiev
    Gergiev is the surname of Valery Gergiev, a prominent Russian conductor known for leading major orchestras and opera companies worldwide.
  • C. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • D. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • E. Nikitin
    Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
  • 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: Bérégovoy
Triple: [Pierre Bérégovoy, familyName, Bérégovoy]
Generated description
Bérégovoy is the surname of Pierre Bérégovoy, a prominent French Socialist politician who served as Prime Minister of France in the early 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bérégovoy
Target entity description: Bérégovoy is the surname of Pierre Bérégovoy, a prominent French Socialist politician who served as Prime Minister of France in the early 1990s.
  • A. Lopokova
    Lopokova is the surname of Lydia Lopokova, a renowned Russian ballerina associated with the Ballets Russes and later known for her marriage to economist John Maynard Keynes.
  • B. Gergiev
    Gergiev is the surname of Valery Gergiev, a prominent Russian conductor known for leading major orchestras and opera companies worldwide.
  • C. Tsitska
    Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
  • D. Lukyanov
    Lukyanov is a Russian surname borne by various notable figures in politics, science, and the arts.
  • E. Nikitin
    Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
  • 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_69ad8581c25c8190b0d85ba9b9baa531 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5637de0819089393429c4017298 completed March 8, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f8793488190aa31040edaf1d627 completed March 12, 2026, 12:57 a.m.
NEDg Description generation batch_69b2103d83688190b107ecbacac604c1 completed March 12, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69b210a290088190aaa10a015519e1de completed March 12, 2026, 1:02 a.m.
Created at: March 8, 2026, 3:05 p.m.