Triple

T6540268
Position Surface form Disambiguated ID Type / Status
Subject Pastoria E168266 entity
Predicate franchise P1500 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: [Pastoria, franchise, Oz series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oz series
Context triple: [Pastoria, franchise, 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
    Oz is a common diminutive or nickname for the given name Oswald.
  • D. 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."
  • E. 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.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add7369c8190919cd7c07012a994 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d53edf108190b74098b41c143a65 completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:50 p.m.