Triple

T13696110
Position Surface form Disambiguated ID Type / Status
Subject Weather or Not E328387 entity
Predicate hasTrack P3284 FINISHED
Object 10,000 Hours E582647 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: 10,000 Hours | Statement: [Weather or Not, hasTrack, 10,000 Hours]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 10,000 Hours
Context triple: [Weather or Not, hasTrack, 10,000 Hours]
  • A. 10,000 Hours chosen
    "10,000 Hours" is a popular country-pop love song by Dan + Shay featuring Justin Bieber that became a major commercial hit and wedding favorite.
  • B. 1,000 Hours
    1,000 Hours is Green Day’s debut EP, showcasing their early punk rock sound and released on the independent label Lookout! Records.
  • C. Outliers
    Outliers is a bestselling non-fiction book by Malcolm Gladwell that explores the hidden factors and cultural contexts that contribute to high levels of success.
  • D. What It Takes: Lessons in the Pursuit of Excellence
    "What It Takes: Lessons in the Pursuit of Excellence" is a memoir and business leadership book by billionaire investor Stephen A. Schwarzman, offering insights into his life, career, and principles for achieving success.
  • E. Practice Makes Perfect
    Practice Makes Perfect is a French film directed by Philippe de Broca, known for his lighthearted, character-driven storytelling.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8773f388190b2413b1e05fd5fd7 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79453395481909d651cb3a128f23d completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.