Triple

T10806959
Position Surface form Disambiguated ID Type / Status
Subject Julien Nkoghe Bekale E254991 entity
Predicate replacedBy P101 FINISHED
Object Rose Christiane Raponda E240256 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: Rose Christiane Raponda | Statement: [Julien Nkoghe Bekale, replacedBy, Rose Christiane Raponda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rose Christiane Raponda
Context triple: [Julien Nkoghe Bekale, replacedBy, Rose Christiane Raponda]
  • A. Rose Christiane Ossouka Raponda chosen
    Rose Christiane Ossouka Raponda is a Gabonese politician and economist who became the country’s first female prime minister.
  • B. Lusiana Burchard
    Lusiana Burchard is best known as the wife of renowned mathematician Sir Michael Atiyah.
  • C. Paula Maloles
    Paula Maloles was the wife of Filipino revolutionary general Miguel Malvar and a supportive figure in his life during the Philippine struggle against Spanish and American colonial rule.
  • D. Marlene Mathias
    Marlene Mathias is known as the daughter of American Olympic decathlon champion and politician Bob Mathias.
  • E. Elizabeth Pomada
    Elizabeth Pomada is an American author and historian best known for popularizing San Francisco’s colorful Victorian houses through her influential work on the “Painted Ladies.”
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733b3f92c8190bcc85db22d77bb7d completed April 9, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69de8513fe0881909d6833c85aac03a8 completed April 14, 2026, 6:19 p.m.
Created at: April 8, 2026, 9:18 p.m.