Triple

T23181320
Position Surface form Disambiguated ID Type / Status
Subject Juliet Prowse E579463 entity
Predicate givenName P17 FINISHED
Object Juliet E286397 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: Juliet | Statement: [Juliet Prowse, givenName, Juliet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juliet
Context triple: [Juliet Prowse, givenName, 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 (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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f6f770c81908622085693e37123 completed April 29, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30b1bb248190acc8f31308f736bc completed May 19, 2026, 9:43 a.m.
Created at: April 17, 2026, 4:05 p.m.