Triple

T22033018
Position Surface form Disambiguated ID Type / Status
Subject Oscar Diggs E544130 entity
Predicate alsoKnownAs P39 FINISHED
Object The Wizard 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: The Wizard | Statement: [Oscar Diggs, alsoKnownAs, The Wizard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Wizard
Context triple: [Oscar Diggs, alsoKnownAs, 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. The Wizard
    "The Wizard" is a song that appears as the B-side to the single released by the band Paranoid.
  • D. The Wizard
    The Wizard is a short-lived 1980s American television series starring David Rappaport as an inventive genius who uses his skills to help those in need.
  • E. The Wizard
    The Wizard was the legendary Indian field hockey player Major Dhyan Chand, renowned worldwide for his extraordinary ball control and goal-scoring prowess.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ee84848190a22c24bf14498520 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.