Triple

T11373354
Position Surface form Disambiguated ID Type / Status
Subject Adhémar Dion E269398 entity
Predicate child P120 FINISHED
Object Denise Dion E587542 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: Denise Dion | Statement: [Adhémar Dion, child, Denise Dion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Denise Dion
Context triple: [Adhémar Dion, child, Denise Dion]
  • A. Denise Dion chosen
    Denise Dion is a person notable for sharing the surname associated with the Dion family name.
  • B. Nancy Marchand
    Nancy Marchand was an acclaimed American actress best known for her roles on the television series "Lou Grant" and "The Sopranos."
  • C. Denise LaSalle
    Denise LaSalle was an American blues and R&B singer, songwriter, and record producer known for hits like "Trapped by a Thing Called Love" and her influential contributions to soul-blues music.
  • D. Denise Robert
    Denise Robert is a Canadian film producer known for her work on acclaimed Quebec cinema, including collaborations with director Denys Arcand.
  • E. Denise Baudu
    Denise Baudu is the young, determined saleswoman who serves as the central heroine of Émile Zola’s novel "Au Bonheur des Dames," embodying both the struggles and aspirations of women in the rise of the modern department store.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8d244c8190b865260338edb532 completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5568e3e108190ab843236b417f150 completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:33 p.m.