Triple

T22546678
Position Surface form Disambiguated ID Type / Status
Subject Tip E557446 entity
Predicate titleAfterTransformation P147139 FINISHED
Object Princess of Oz 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: Princess of Oz | Statement: [Tip, titleAfterTransformation, Princess of Oz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princess of Oz
Context triple: [Tip, titleAfterTransformation, Princess of Oz]
  • A. Princess of Oz chosen
    Princess of Oz is the royal title held by Princess Ozma, the magical and benevolent ruler of the Land of Oz in L. Frank Baum’s Oz series.
  • B. The Lost Princess of Oz
    The Lost Princess of Oz is a 1917 children's fantasy novel by L. Frank Baum, part of the Oz series, in which the mysterious disappearance of Princess Ozma sets off a quest across the magical Land of Oz.
  • C. Royal Army of Oz
    The Royal Army of Oz is the fictional military force serving the Emerald City and its rulers in L. Frank Baum’s Oz book series.
  • D. King of the Land of Oz
    The King of the Land of Oz is the monarchial ruler of the magical Land of Oz in L. Frank Baum’s Oz book series.
  • E. Ozma of Oz
    Ozma of Oz is the third book in L. Frank Baum’s Oz series, introducing Princess Ozma as a central character and following Dorothy’s adventures in the magical Land of Oz.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f366f208190abbc6eb4780b2d48 completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:52 p.m.