Triple

T5933565
Position Surface form Disambiguated ID Type / Status
Subject Carrefour E131992 entity
Predicate foundedBy P104 FINISHED
Object Denis Defforey
Denis Defforey was a French businessman best known as one of the founding figures behind the multinational retail corporation Carrefour.
E654783 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: Denis Defforey | Statement: [Carrefour, foundedBy, Denis Defforey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denis Defforey
Context triple: [Carrefour, foundedBy, Denis Defforey]
  • A. Patrick Degorce
    Patrick Degorce is a French hedge fund manager and investor best known as the founder of Theleme Partners and previously a prominent figure at The Children’s Investment Fund (TCI).
  • B. Denis Godefroy
    Denis Godefroy was a 16th–17th century French jurist and scholar best known for his influential editions and commentaries on Roman law.
  • C. Frédéric Bricout
    Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
  • D. Bertrand Fagalde
    Bertrand Fagalde was a French admiral best known for his leadership of French naval forces during the Battle of Dunkirk in World War II.
  • E. Benoit Dageville
    Benoit Dageville is a French computer scientist and entrepreneur best known as a co-founder of the cloud data platform company Snowflake.
  • 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: Denis Defforey
Triple: [Carrefour, foundedBy, Denis Defforey]
Generated description
Denis Defforey was a French businessman best known as one of the founding figures behind the multinational retail corporation Carrefour.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Denis Defforey
Target entity description: Denis Defforey was a French businessman best known as one of the founding figures behind the multinational retail corporation Carrefour.
  • A. Patrick Degorce
    Patrick Degorce is a French hedge fund manager and investor best known as the founder of Theleme Partners and previously a prominent figure at The Children’s Investment Fund (TCI).
  • B. Denis Godefroy
    Denis Godefroy was a 16th–17th century French jurist and scholar best known for his influential editions and commentaries on Roman law.
  • C. Frédéric Bricout
    Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
  • D. Bertrand Fagalde
    Bertrand Fagalde was a French admiral best known for his leadership of French naval forces during the Battle of Dunkirk in World War II.
  • E. Benoit Dageville
    Benoit Dageville is a French computer scientist and entrepreneur best known as a co-founder of the cloud data platform company Snowflake.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0389f6fc881909527b928838ffcdd completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7e4e76cf881909e45c3652a372a70 completed March 28, 2026, 2:25 p.m.
NEDg Description generation batch_69c7e6671e2c8190aed42aa673540efa completed March 28, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_69c7e6cd820881909ef8fd3bc28d2716 completed March 28, 2026, 2:33 p.m.
Created at: March 22, 2026, 4 p.m.