Triple

T22152692
Position Surface form Disambiguated ID Type / Status
Subject Sibyl Vane E547451 entity
Predicate performsAs P49471 FINISHED
Object Juliet 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: Juliet | Statement: [Sibyl Vane, performsAs, Juliet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juliet
Context triple: [Sibyl Vane, performsAs, Juliet]
  • A. Juliet
    Juliet is a small inner moon of Uranus that helps gravitationally shape and maintain the planet’s ring system.
  • B. Juliet Capulet chosen
    Juliet Capulet is the young heroine of William Shakespeare’s tragedy "Romeo and Juliet," renowned as one half of literature’s most famous star-crossed lovers.
  • C. Giulietta
    Giulietta is the given name of Countess Giulietta Guicciardi, an aristocratic woman best known as one of Ludwig van Beethoven’s piano students and the dedicatee of his "Moonlight" Sonata.
  • D. Lady Capulet
    Lady Capulet is Juliet’s mother in Shakespeare’s tragedy "Romeo and Juliet," a noblewoman of Verona whose concern for status and tradition contributes to the play’s familial conflict.
  • E. Julietta
    Julietta is a surreal three-act opera by Czech composer Bohuslav Martinů, based on Georges Neveux’s play about a man searching for a woman in a dreamlike town where people have lost their memories.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f5a740819093628386732b91a6 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.