Triple

T3088738
Position Surface form Disambiguated ID Type / Status
Subject Dorothy Cotton E64437 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: [Dorothy Cotton, givenName, Dorothy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorothy
Context triple: [Dorothy Cotton, 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada20b99a4819090c3d3e08ed556ad completed March 8, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1f8a4c1f08190a80efd190e4ed07f completed March 11, 2026, 11:20 p.m.
Created at: March 8, 2026, 3:03 p.m.