Triple

T18212906
Position Surface form Disambiguated ID Type / Status
Subject Christina Onassis E436077 entity
Predicate spouse P13 FINISHED
Object Thierry Roussel NE NERFINISHED

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: Thierry Roussel | Statement: [Christina Onassis, spouse, Thierry Roussel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thierry Roussel
Context triple: [Christina Onassis, spouse, Thierry Roussel]
  • A. Thierry Roussel chosen
    Thierry Roussel is a French businessman best known as the former husband of Christina Onassis and the father of her heiress daughter Athina Onassis.
  • B. Thierry Jonquet
    Thierry Jonquet was a French crime and noir novelist known for his dark, psychologically intense stories, including the novel that inspired Pedro Almodóvar’s film "The Skin I Live In."
  • C. Patrick Baudry
    Patrick Baudry is a French astronaut and test pilot who became one of the first French citizens to fly in space.
  • D. Michel Clément
    Michel Clément was a mountaineer known for being among the first to successfully climb the Alpine peak Grand Combin.
  • E. Thierry Delaporte
    Thierry Delaporte is a French business executive best known as the CEO and Managing Director of Indian IT services giant Wipro.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e22a26308190a6720b41a9bbfc2d completed April 19, 2026, 2:09 p.m.
Created at: April 10, 2026, 10:32 a.m.