Triple

T3971312
Position Surface form Disambiguated ID Type / Status
Subject Autumn Sonata E92340 entity
Predicate leadCharacter P1668 FINISHED
Object Eva E93610 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: Eva | Statement: [Autumn Sonata, leadCharacter, Eva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eva
Context triple: [Autumn Sonata, leadCharacter, Eva]
  • A. Eva chosen
    Eva is a feminine given name of Hebrew origin, equivalent to "Eve" and widely used in many languages and cultures.
  • B. Evelyn
    Evelyn is a given name shared by G. Evelyn Hutchinson, a prominent 20th-century British-born American ecologist often called the "father of modern ecology."
  • C. Eva Peace
    Eva Peace is a fiercely independent, sharp-tongued matriarch in Toni Morrison’s novel "Sula," known for her unconventional life, physical disability, and complex relationship with her children and community.
  • D. Eileen
    Eileen is a feminine given name of Irish origin, often considered a variant of Eibhlin or an anglicized form related to names like Ellen.
  • E. Malena
    Malena is a feminine given name, commonly used in various cultures and often considered a diminutive or variant of names like Magdalena.
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef995d27881908b24a5b2ef57455f completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5400b75d081909b8e4840b15d19f1 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:32 p.m.