Triple

T8266792
Position Surface form Disambiguated ID Type / Status
Subject Pony Excess E193320 entity
Predicate title P38 FINISHED
Object Pony Excess E193320 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: Pony Excess | Statement: [Pony Excess, title, Pony Excess]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pony Excess
Context triple: [Pony Excess, title, Pony Excess]
  • A. Pony Excess chosen
    Pony Excess is an ESPN 30 for 30 documentary chronicling the rise, scandal, and NCAA "death penalty" of Southern Methodist University’s football program in the 1980s.
  • B. Let That Pony Run
    "Let That Pony Run" is a country song recorded by American singer Pam Tillis, known for its storytelling lyrics and success on the country music charts in the early 1990s.
  • C. Tired Pony
    Tired Pony is an indie/alternative supergroup led by Snow Patrol frontman Gary Lightbody, known for its Americana-influenced, folk-rock sound.
  • D. There Must Be a Pony!
    "There Must Be a Pony!" is a 1984 semi-autobiographical novel by James Kirkwood that blends show-business satire with a poignant story of family, fame, and personal redemption.
  • E. My Pretty Pony
    My Pretty Pony is a short film adaptation of a Stephen King story, featuring Noah Jupe in a key role.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb794e6880819084dff5df42332835 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd357ecadc81909eb92655a2cbb7e6 completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 5:50 p.m.