Triple

T6540241
Position Surface form Disambiguated ID Type / Status
Subject Pastoria E168266 entity
Predicate successor P78 FINISHED
Object Princess Ozma E31704 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: Princess Ozma | Statement: [Pastoria, successor, Princess Ozma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princess Ozma
Context triple: [Pastoria, successor, Princess Ozma]
  • A. Princess Ozma chosen
    Princess Ozma is a fictional royal character from L. Frank Baum’s Oz book series, serving as the rightful ruler of the Land of Oz.
  • B. Glinda the Good Witch
    Glinda the Good Witch is a benevolent and powerful sorceress from L. Frank Baum’s Oz universe, best known for guiding Dorothy on her journey home.
  • C. The Blue Fairy
    The Blue Fairy is a magical, benevolent figure in the Pinocchio story who guides and protects the wooden puppet on his journey to becoming a real boy.
  • D. Tiger Lily
    Tiger Lily is the proud and brave princess of the Native tribe in the Peter Pan story, known for her loyalty to Peter and her spirited defiance of Captain Hook.
  • E. Dorothy
    Dorothy is a feminine given name of Greek origin, meaning "gift of God," that has been widely used in English-speaking countries.
  • 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_69c6e41d09488190bda71118c299fd31 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:50 p.m.