Triple

T20780631
Position Surface form Disambiguated ID Type / Status
Subject Kitty Pryde E511470 entity
Predicate alias P39 FINISHED
Object Sprite 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: Sprite | Statement: [Kitty Pryde, alias, Sprite]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sprite
Context triple: [Kitty Pryde, alias, Sprite]
  • A. Sprite
    Sprite is a popular lemon-lime flavored soft drink known for its crisp, caffeine-free taste and global presence.
  • B. Sprite chosen
    Sprite is an ageless, illusion-casting Eternal who appears as a child and struggles with their eternal youth in the Marvel film "Eternals."
  • C. Pixels
    Pixels is a 2015 science fiction comedy film in which classic video game characters attack Earth, prompting former arcade champions to defend the planet.
  • D. AgentSheets
    AgentSheets is an educational visual programming environment that allows users, especially students and teachers, to create interactive simulations and games using agent-based modeling.
  • E. Pixel
    Pixel is a genetically engineered, seemingly teleporting cat featured as a key companion in Robert A. Heinlein’s science fiction novel "The Cat Who Walks Through Walls."
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c26f99b88190a84a6889834e1e96 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:37 p.m.