Triple

T5542559
Position Surface form Disambiguated ID Type / Status
Subject Theleme Partners E145324 entity
Predicate notableFounder P22 FINISHED
Object Patrick Degorce E585091 NE FINISHED

How this triple was built (2 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: Patrick Degorce | Statement: [Theleme Partners, notableFounder, Patrick Degorce]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patrick Degorce
Context triple: [Theleme Partners, notableFounder, Patrick Degorce]
  • A. Patrick Degorce chosen
    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. Benoit Dageville
    Benoit Dageville is a French computer scientist and entrepreneur best known as a co-founder of the cloud data platform company Snowflake.
  • C. Peter Biziou
    Peter Biziou is a British cinematographer known for his work on films such as "Bugsy Malone" and the Oscar-winning "Mississippi Burning."
  • D. Franck Leroy
    Franck Leroy is a French politician known for serving as the mayor of Épernay, a commune in the Marne department of northeastern France.
  • E. Charles LeMaire
    Charles LeMaire was an American costume designer renowned for his work in Hollywood’s Golden Age, earning multiple Academy Awards for his contributions to classic films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008fa64888190adae56c8f9ea4031 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c01fc7e26481908cec8d0483170ea5 completed March 22, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c603c0c8388190b39b2e20c9a02f19 completed March 27, 2026, 4:12 a.m.
Created at: March 22, 2026, 3:35 p.m.