Triple

T11104787
Position Surface form Disambiguated ID Type / Status
Subject Wildcat E262598 entity
Predicate hasCompanionMascot P15167 FINISHED
Object Scratch E262599 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: Scratch | Statement: [Wildcat, hasCompanionMascot, Scratch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scratch
Context triple: [Wildcat, hasCompanionMascot, Scratch]
  • A. Scratch chosen
    Scratch is one of the University of Kentucky’s costumed wildcat mascots who entertains crowds and represents the school at athletic events and community activities.
  • B. Scratch programming language
    Scratch programming language is a visual, block-based coding environment designed primarily for children and beginners to learn programming concepts through creating interactive stories, games, and animations.
  • C. ScratchJr
    ScratchJr is a simplified, block-based visual programming language and app designed to introduce young children to coding and computational thinking through interactive stories and games.
  • D. Snap!
    Snap! is a German Eurodance group best known for early 1990s hits like "The Power" and "Rhythm Is a Dancer."
  • E. Turtle Blocks
    Turtle Blocks is a visual, block-based programming environment designed to help learners explore coding and mathematical concepts through turtle graphics.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a2e319881909e66d3c0c73b56bc completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e42d6d03788190acc9748a3ba0d0ab completed April 19, 2026, 1:18 a.m.
Created at: April 8, 2026, 9:27 p.m.