Triple

T17488917
Position Surface form Disambiguated ID Type / Status
Subject Daniel Tiger E425848 entity
Predicate friend P8712 FINISHED
Object Katerina Kittycat 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: Katerina Kittycat | Statement: [Daniel Tiger, friend, Katerina Kittycat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katerina Kittycat
Context triple: [Daniel Tiger, friend, Katerina Kittycat]
  • A. Katerina Kittycat chosen
    Katerina Kittycat is a playful, imaginative kitten and one of Daniel Tiger’s close friends in the children’s animated series "Daniel Tiger’s Neighborhood."
  • B. Ortensia the Cat
    Ortensia the Cat is a classic Disney cartoon character, a black-and-white anthropomorphic cat best known as the love interest and partner of Oswald the Lucky Rabbit in early animated shorts.
  • C. Kitty
    Kitty is an American singer, rapper, and songwriter known for her ethereal, internet-influenced pop and hip-hop music.
  • D. Kitty
    Kitty is a common diminutive or nickname for the given name Catherine.
  • E. Kitty
    "Kitty" is a 1945 historical comedy-drama film set in 18th-century London, best known for starring Paulette Goddard as a pickpocket who rises in society.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d461308190844c143dcfb61fac completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.