Triple

T13197122
Position Surface form Disambiguated ID Type / Status
Subject Princess Unikitty E314140 entity
Predicate alias P39 FINISHED
Object Unikitty E942705 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: Unikitty | Statement: [Princess Unikitty, alias, Unikitty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unikitty
Context triple: [Princess Unikitty, alias, Unikitty]
  • A. Unikitty! chosen
    Unikitty! is an animated television series centered on the energetic and imaginative adventures of the unicorn-cat princess Unikitty and her friends in the whimsical Unikingdom.
  • B. Princess Unikitty
    Princess Unikitty is a hyper-energetic, part-unicorn part-cat princess from The LEGO Movie franchise known for her extreme mood swings and relentlessly cheerful personality.
  • C. Katerina Kittycat
    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."
  • 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 (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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c626058819086f604b11af2d4eb completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff177ba88190afb2043cc157248d completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 9:16 p.m.