Triple

T6299932
Position Surface form Disambiguated ID Type / Status
Subject Buena Vista Television E141226 entity
Predicate notableDistribution P22 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: [Buena Vista Television, notableDistribution, Gargoyles]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gargoyles
Context triple: [Buena Vista Television, notableDistribution, 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645a7e048190af7a609fc74b876a completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e427de4481909f1cad8fae93bc42 completed March 27, 2026, 1:58 a.m.
Created at: March 22, 2026, 4:27 p.m.