Triple

T23103212
Position Surface form Disambiguated ID Type / Status
Subject Amelia Mignonette Grimaldi Thermopolis Renaldo E576089 entity
Predicate middleName P143 FINISHED
Object Mignonette 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: Mignonette | Statement: [Amelia Mignonette Grimaldi Thermopolis Renaldo, middleName, Mignonette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mignonette
Context triple: [Amelia Mignonette Grimaldi Thermopolis Renaldo, middleName, Mignonette]
  • A. Mignonette chosen
    Mignonette is a character in the musical "The Happy Time," which centers on themes of family, memory, and personal growth.
  • B. Mignon
    Mignon is a mysterious, ethereal child of Italian origin who becomes one of the most poignant and symbolically rich figures in Goethe’s novel "Wilhelm Meister’s Apprenticeship."
  • C. Marguerittes
    Marguerittes is a commune in southern France located in the Gard department in the Occitanie region.
  • D. Michelette
    Michelette is a feminine given name derived from the French surname and given name Michelet.
  • E. Petite Arvine
    Petite Arvine is a high-quality white wine grape variety from Switzerland’s Valais region, known for producing aromatic, mineral-driven wines with vibrant acidity and notes of citrus and salt.
  • 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_69e245c060b48190a9bd61a47a16db17 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18deaacbc8190a97e64e1cf39cdd6 completed April 29, 2026, 4:49 a.m.
Created at: April 17, 2026, 3:58 p.m.