Triple

T5140930
Position Surface form Disambiguated ID Type / Status
Subject Uncle Henry’s farm E115948 entity
Predicate appearsInSeries P26455 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: [Uncle Henry’s farm, appearsInSeries, Oz series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oz series
Context triple: [Uncle Henry’s farm, appearsInSeries, 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_69bd44459a988190a772a5c2ec6a1965 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd787e5fe88190834042a73d4d9619 completed March 20, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69becfe2a59881908c790e26a2365353 completed March 21, 2026, 5:05 p.m.
Created at: March 20, 2026, 1:43 p.m.