Triple

T11169905
Position Surface form Disambiguated ID Type / Status
Subject The Wizard E264246 entity
Predicate name P16 FINISHED
Object The Wizard E264246 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: The Wizard | Statement: [The Wizard, name, The Wizard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Wizard
Context triple: [The Wizard, name, The Wizard]
  • A. The Wizard chosen
    The Wizard is the enigmatic and ultimately humbug ruler of the Emerald City in L. Frank Baum’s classic tale "The Wizard of Oz."
  • B. The Wizard
    The Wizard is the famous nickname of Hall of Fame shortstop Ozzie Smith, renowned for his exceptional defensive skills and acrobatic plays in Major League Baseball.
  • C. El Mago
    El Mago is the nickname of Argentine former professional tennis player Guillermo Coria, renowned for his exceptional clay-court skills and speed.
  • D. The Wizard of Is
    "The Wizard of Is" is a satirical storyline from the comic strip "Pearls Before Swine" that parodies "The Wizard of Oz" with the strip’s trademark dark humor and social commentary.
  • E. The Wizard and I
    "The Wizard and I" is a prominent solo number from the Broadway musical Wicked that introduces Elphaba’s hopes, ambitions, and belief that meeting the Wizard will change her life.
  • 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_69d6aa9dafac8190bd90d2c74f661aa7 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8952e248190b0751669e8c960b7 completed April 9, 2026, 5:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69e496d1ffa48190b29b4d4b71803564 completed April 19, 2026, 8:48 a.m.
Created at: April 8, 2026, 9:29 p.m.