Triple

T6572962
Position Surface form Disambiguated ID Type / Status
Subject University of Akron E155485 entity
Predicate mascot P52 FINISHED
Object Zippy the kangaroo E560618 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: Zippy the kangaroo | Statement: [University of Akron, mascot, Zippy the kangaroo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zippy the kangaroo
Context triple: [University of Akron, mascot, Zippy the kangaroo]
  • A. Zippy the kangaroo chosen
    Zippy the kangaroo is the costumed kangaroo mascot representing the University of Akron's athletic teams, particularly the Akron Zips football team.
  • B. Moe the Kangaroo
    Moe the Kangaroo is the costumed kangaroo mascot that represents the Virginia Military Institute at its athletic events and school functions.
  • C. Kasey the Kangaroo
    Kasey the Kangaroo is the energetic kangaroo mascot representing the University of Missouri–Kansas City at athletic events and campus activities.
  • D. Reginald the Koala
    Reginald the Koala is a fictional koala character portrayed as an operative working for the CIA’s domestic branch.
  • E. Coco Bandicoot
    Coco Bandicoot is Crash Bandicoot’s intelligent, tech-savvy younger sister and a recurring playable character in the Crash Bandicoot video game series.
  • 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_69c688151254819080387f87deab8fa7 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae6faa3c81908f1777d616cece46 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d56a7de88190948fdd052dd4d5d5 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:53 p.m.