Triple

T20140792
Position Surface form Disambiguated ID Type / Status
Subject Calpurnia E491157 entity
Predicate notableSong P4 FINISHED
Object Greyhound NE NERFINISHED

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: Greyhound | Statement: [Calpurnia, notableSong, Greyhound]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Greyhound
Context triple: [Calpurnia, notableSong, Greyhound]
  • A. Greyhound chosen
    Greyhound is a 2020 World War II naval thriller film starring Tom Hanks as a U.S. destroyer captain escorting Allied convoys across the Atlantic while evading German U-boats.
  • B. Greyhound
    Greyhound is a breed of tall, slender sighthound renowned for its exceptional speed and grace, historically used for hunting and racing.
  • C. Greyhound
    Greyhound is a long-distance intercity bus service brand known for its extensive coach network across North America.
  • D. Greyhounds
    Greyhounds is the nickname and mascot for Loyola University Maryland’s athletic teams, notably including its prominent men’s lacrosse program.
  • E. Foxhound
    Foxhound is the NATO reporting name for the Soviet-designed Mikoyan MiG-31, a long-range supersonic interceptor aircraft developed during the Cold War.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679b179c8190a9511df8ed82098a completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:32 p.m.