Triple

T1692847
Position Surface form Disambiguated ID Type / Status
Subject Texas Tech University E36587 entity
Predicate mascot P52 FINISHED
Object The Masked Rider E171343 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: The Masked Rider | Statement: [Texas Tech University, mascot, The Masked Rider]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Masked Rider
Context triple: [Texas Tech University, mascot, The Masked Rider]
  • A. Masked Rider chosen
    Masked Rider is the horseback-riding costumed mascot of Texas Tech University, known for leading the football team onto the field atop a black horse.
  • B. Gamera
    Gamera is a giant, fire-breathing turtle kaiju from Japanese tokusatsu films, known for defending humanity against monstrous threats.
  • C. Rider
    Rider is a cross-platform integrated development environment by JetBrains, widely used for .NET and C# development.
  • D. Naikaku Sōri Daijin
    Naikaku Sōri Daijin is the Japanese term for the Prime Minister of Japan, the head of government and chief executive authority in the country’s political system.
  • E. Saho
    Saho is a Cushitic language spoken primarily by the Saho people in Eritrea and neighboring regions of the Horn of Africa.
  • 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_69a886151508819084fa7f1ce6e05577 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa62b097488190907e3bce234e3c77 completed March 6, 2026, 5:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad7996a39481909152a6a799659c93 completed March 8, 2026, 1:28 p.m.
Created at: March 4, 2026, 7:29 p.m.