Triple

T6028042
Position Surface form Disambiguated ID Type / Status
Subject Dorothy and the Wizard in Oz E134228 entity
Predicate series P1761 FINISHED
Object Oz series E239326 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: Oz series | Statement: [Dorothy and the Wizard in Oz, series, Oz series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oz series
Context triple: [Dorothy and the Wizard in Oz, series, Oz series]
  • A. Oz book series chosen
    The Oz book series is a classic collection of American children's fantasy novels set in the magical Land of Oz, best known for introducing characters like Dorothy, the Scarecrow, the Tin Woodman, and the Cowardly Lion.
  • B. Oz
    Oz is a gritty HBO drama series set in a maximum-security prison, known for its dark, realistic portrayal of inmate life and institutional violence.
  • C. Oz, the Great and Horrible
    Oz, the Great and Horrible is the imposing yet ultimately humbug wizard who rules the Emerald City in L. Frank Baum’s classic novel "The Wonderful Wizard of Oz."
  • D. Land of Oz
    The Land of Oz is a fantastical, magical country from L. Frank Baum’s children’s book series, best known as the colorful, whimsical world visited by Dorothy and her friends.
  • E. OZ
    OZ is the IATA airline designator assigned to Asiana Airlines, a major South Korean carrier based in Seoul.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0560e3c2c8190aea2619386fc5538 completed March 22, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1137d6a648190a91795fb679a891c completed March 23, 2026, 10:18 a.m.
Created at: March 22, 2026, 4:07 p.m.