Triple

T13969929
Position Surface form Disambiguated ID Type / Status
Subject Killing Eve E336030 entity
Predicate mainCharacter P1183 FINISHED
Object Villanelle E336031 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: Villanelle | Statement: [Killing Eve, mainCharacter, Villanelle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Villanelle
Context triple: [Killing Eve, mainCharacter, Villanelle]
  • A. Villanelle chosen
    Villanelle is a stylish, psychopathic assassin and central character in the television series "Killing Eve."
  • B. The Sonnet
    The Sonnet is a sequence of interconnected sonnets by Dante Gabriel Rossetti that forms a central poetic component of his larger work, "The House of Life."
  • C. Alcaic stanza
    The Alcaic stanza is an ancient Greek lyrical verse form, later adopted by Latin poets like Horace, characterized by a specific quantitative metrical pattern traditionally used for serious or reflective themes.
  • D. Sonnet
    Sonnet is a given name that can be used for people, such as Sonnet Noel Whitaker.
  • E. Fonction du poète
    Fonction du poète is a celebrated poem by Victor Hugo that reflects on the role and responsibility of the poet in society.
  • 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_69d81c61f3508190aaf2ca0dc0002c59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e8daeac8190aadd4b3b60222482 completed April 14, 2026, 12:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1dc838c8190bbcfefd69ea29965 completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:18 p.m.