Triple

T20384165
Position Surface form Disambiguated ID Type / Status
Subject Toto E497917 entity
Predicate appearsIn P795 FINISHED
Object Oz book series 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: Oz book series | Statement: [Toto, appearsIn, Oz book series]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oz book series
Context triple: [Toto, appearsIn, Oz book 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. The Oz Kids
    The Oz Kids is an animated television series that follows the adventures of the children of classic Wizard of Oz characters in a modernized fantasy setting.
  • C. Royal Family of Oz
    The Royal Family of Oz is the fictional ruling dynasty of the Land of Oz in L. Frank Baum’s Oz book series, best known for characters like Princess Ozma who preside over the magical kingdom.
  • 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. Mago de Oz
    Mago de Oz is a tram stop in Zaragoza, Spain, serving as the southern terminus of one of the city’s tram lines.
  • 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678b2ceec819091ad5205ee9b2174 completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.