Triple

T8201282
Position Surface form Disambiguated ID Type / Status
Subject Logo E191579 entity
Predicate influenced P9 FINISHED
Object Scratch E1953 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: [Logo, influenced, Scratch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scratch
Context triple: [Logo, influenced, Scratch]
  • A. Scratch
    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 chosen
    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. Turtle Blocks
    Turtle Blocks is a visual, block-based programming environment designed to help learners explore coding and mathematical concepts through turtle graphics.
  • E. scratch.mit.edu
    scratch.mit.edu is the official online platform for the Scratch visual programming language, where users—especially children and educators—create, share, and explore interactive projects.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5df6e7548190846a1afd62ec6d0a completed March 31, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedc49ba4819099762f200c4e6577 completed April 1, 2026, 10:04 a.m.
Created at: March 30, 2026, 5:43 p.m.