Triple

T32084977
Position Surface form Disambiguated ID Type / Status
Subject Kaylee Hottle E819414 entity
Predicate sharesTraitWithCharacter P120470 FINISHED
Object deafness LITERAL 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: deafness | Statement: [Kaylee Hottle, sharesTraitWithCharacter, deafness]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesTraitWithCharacter
Context triple: [Kaylee Hottle, sharesTraitWithCharacter, deafness]
  • A. sharesCharacterWith
    Indicates that two entities have at least one character (such as a letter, symbol, or glyph) in common.
  • B. sharedCharacteristic chosen
    Indicates that two or more entities possess the same specified attribute or quality.
  • C. sharesAppearanceTraitWith
    Indicates that two entities possess at least one similar or matching visual or appearance-related characteristic.
  • D. sharesProtagonistWith
    Indicates that two narrative works feature the same main protagonist character.
  • E. sharesCharismWith
    Indicates that two entities possess and express the same or very similar spiritual gift, mission, or distinctive inspirational quality.
  • F. None of above.

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_69f349004b2481908ce2e50af0d579a8 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69ff3fb2318c81908a46c2f513608935 completed May 9, 2026, 2:07 p.m.
PD Predicate disambiguation batch_69ff3e96dcc48190819f6204680d84aa completed May 9, 2026, 2:03 p.m.
Created at: May 1, 2026, 12:24 a.m.