Triple

T9427830
Position Surface form Disambiguated ID Type / Status
Subject Debut E227299 entity
Predicate hasTrack P3284 FINISHED
Object One Day E543108 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: One Day | Statement: [Debut, hasTrack, One Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: One Day
Context triple: [Debut, hasTrack, One Day]
  • A. One Day chosen
    One Day is a romantic drama film, based on David Nicholls' novel, that follows the evolving relationship between two friends by revisiting them on the same date over many years.
  • B. Un Día (One Day)
    "Un Día (One Day)" is a popular reggaeton track by Puerto Rican artist J Balvin, known for its smooth, romantic vibe and widespread Latin music appeal.
  • C. Perfect Day
    Perfect Day is a song featured on the album "Wanderland" by American singer-songwriter Kelis.
  • D. Beautiful Day
    "Beautiful Day" is a Grammy-winning rock anthem by Irish band U2, known for its uplifting lyrics and soaring, atmospheric sound.
  • E. One Week
    One Week is a 1920 silent short comedy film starring Buster Keaton, famous for its inventive physical gags about a newlywed couple attempting to assemble a do-it-yourself house.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c91ba1c8190b8331fb1ba58cc61 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1102f93488190bd1ae232c1e34830 completed April 4, 2026, 1:20 p.m.
Created at: March 30, 2026, 7:49 p.m.