Triple

T20478876
Position Surface form Disambiguated ID Type / Status
Subject Uranian system E502397 entity
Predicate hasMoon P2034 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: [Uranian system, hasMoon, Juliet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Juliet
Context triple: [Uranian system, hasMoon, Juliet]
  • A. Juliet chosen
    Juliet is a small inner moon of Uranus that helps gravitationally shape and maintain the planet’s ring system.
  • B. Juliet Capulet
    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_69e0b4af32848190aea80682b44d5d6e completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69b54c8188190a71e35fab8d194a6 completed April 20, 2026, 9:32 p.m.
Created at: April 16, 2026, 11:34 a.m.