Triple

T19553609
Position Surface form Disambiguated ID Type / Status
Subject Urban Legend E489252 entity
Predicate hasPart P35 FINISHED
Object Countdown 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: Countdown | Statement: [Urban Legend, hasPart, Countdown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Countdown
Context triple: [Urban Legend, hasPart, Countdown]
  • A. Countdown chosen
    "Countdown" is a long-running British television game show that combines word and number puzzles in a timed, competitive format.
  • B. Countdown
    "Countdown" is a song produced by Antonio Dixon, known for his work in contemporary R&B and pop music.
  • C. The Countdown
    "The Countdown" is a jazz album by acclaimed American pianist Mulgrew Miller, showcasing his virtuosic post-bop style and sophisticated compositions.
  • D. On Time
    "On Time" is a track by Metro Boomin from his 2022 hip-hop album "Heroes & Villains," known for its cinematic production and thematic ties to the album’s superhero-villain concept.
  • E. On Time
    "On Time" is the 1969 debut studio album by American rock band Grand Funk Railroad, showcasing their early hard rock and blues-influenced sound.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d3254548190828a5f7e9a851ef8 completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.