Triple

T825013
Position Surface form Disambiguated ID Type / Status
Subject Dottie West E17834 entity
Predicate givenName P17 FINISHED
Object Dorothy E70298 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: Dorothy | Statement: [Dottie West, givenName, Dorothy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorothy
Context triple: [Dottie West, givenName, Dorothy]
  • A. Dorothy chosen
    Dorothy is a feminine given name of Greek origin, meaning "gift of God," that has been widely used in English-speaking countries.
  • B. The Wizard of Oz (character)
    The Wizard of Oz (character) is the enigmatic and ultimately ordinary man from L. Frank Baum’s Oz stories who poses as a powerful wizard while secretly being a humbug from Kansas.
  • C. 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.
  • D. Princess Ozma
    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.
  • E. Dorothy Gale in The Wizard of Oz
    Dorothy Gale in The Wizard of Oz is the young Kansas farm girl who is swept away to the magical land of Oz and embarks on a journey along the Yellow Brick Road to find her way home.
  • 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ab7eb0a08190889463edb0e7bd59 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d9577f081908aa31b1926e04bb8 completed March 3, 2026, 11:24 p.m.
Created at: March 1, 2026, 7:38 p.m.