Triple

T19298617
Position Surface form Disambiguated ID Type / Status
Subject Honorine de Viane Morel E482632 entity
Predicate child P120 FINISHED
Object Michel Verne E478121 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: Michel Verne | Statement: [Honorine de Viane Morel, child, Michel Verne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michel Verne
Context triple: [Honorine de Viane Morel, child, Michel Verne]
  • A. Michel Verne chosen
    Michel Verne was a French writer and playwright best known as the son of novelist Jules Verne and for editing, completing, and sometimes controversially revising his father's later works.
  • B. Pierre Verne
    Pierre Verne was a 19th-century French lawyer and the father of famed science fiction author Jules Verne.
  • C. Michel Drach
    Michel Drach was a French film director and screenwriter known for his intimate, socially engaged dramas in postwar French cinema.
  • D. Alain Glavieux
    Alain Glavieux was a French engineer and information theorist best known as a co-inventor of turbo codes, a breakthrough in error-correcting coding that revolutionized digital communications.
  • E. Pierre Boulle
    Pierre Boulle was a French novelist best known for writing the science fiction novel that inspired the film "Planet of the Apes" and the war novel "The Bridge on the River Kwai."
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc8852208190ba0337a9623d9bdf completed April 20, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0714557a208190be1db2689cd5f8ec completed May 15, 2026, 12:40 p.m.
Created at: April 10, 2026, 1:31 p.m.