Triple

T13632809
Position Surface form Disambiguated ID Type / Status
Subject Louise Mortimer E325765 entity
Predicate spouse P13 FINISHED
Object André Fabius E325764 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: André Fabius | Statement: [Louise Mortimer, spouse, André Fabius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: André Fabius
Context triple: [Louise Mortimer, spouse, André Fabius]
  • A. André Fabius chosen
    André Fabius was a French antiquarian and art dealer, best known as the father of former French Prime Minister Laurent Fabius.
  • B. Frans Kellendonk
    Frans Kellendonk was a Dutch novelist and essayist known for his intellectually rich, stylistically precise fiction that explored themes of identity, religion, and society.
  • C. Hubert Bruls
    Hubert Bruls is a Dutch politician best known as the long-serving mayor of Nijmegen and a prominent figure in national public safety and crisis management.
  • D. Jeroen Lammers
    Jeroen Lammers is a Dutch former speed skater who competed internationally in the early 2000s.
  • E. Frans Ludeke
    Frans Ludeke is a South African rugby union coach best known for his successful stints with Super Rugby teams and later coaching roles in Japan.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a490508190924ac40f1dd519d6 completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78aef6fd08190b209a94b9ddd024c completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:51 p.m.