Triple

T7742473
Position Surface form Disambiguated ID Type / Status
Subject Toon Disney E175541 entity
Predicate featuredProgram P32079 FINISHED
Object Gargoyles E279968 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: Gargoyles | Statement: [Toon Disney, featuredProgram, Gargoyles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gargoyles
Context triple: [Toon Disney, featuredProgram, Gargoyles]
  • A. Gargoyles chosen
    Gargoyles is a 1990s animated television series that blends dark fantasy, complex storytelling, and Shakespearean themes, following ancient stone creatures who protect modern-day New York City.
  • B. Knighthawks
    Knighthawks is the common short name for the Rochester Knighthawks, a professional box lacrosse team based in Rochester, New York.
  • C. Griffins
    Griffins is the commonly used short name for the Grand Rapids Griffins, a professional ice hockey team in the American Hockey League.
  • D. Griffins
    The Griffins are the athletic teams representing Seton Hill University in collegiate sports competitions.
  • E. Grimm
    Grimm is a dark fantasy police procedural television series that blends crime-solving with folklore-inspired supernatural elements.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c708b13c688190839c920ec196cada completed March 27, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be48d61c8190aba1e5f23d7cb1be completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:07 p.m.