Triple

T9427564
Position Surface form Disambiguated ID Type / Status
Subject Fearless Tour E227293 entity
Predicate setListIncludes P31874 FINISHED
Object The Best Day E798206 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: The Best Day | Statement: [Fearless Tour, setListIncludes, The Best Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Best Day
Context triple: [Fearless Tour, setListIncludes, The Best Day]
  • A. The Best Day chosen
    "The Best Day" is a nostalgic country-pop song by Taylor Swift that reflects on her childhood memories and close relationship with her mother.
  • B. Best Day Ever
    Best Day Ever is a 2011 mixtape by Mac Miller that helped propel his early mainstream popularity with upbeat, feel-good tracks.
  • C. A Good Day
    "A Good Day" is the debut studio album by American singer-songwriter Priscilla Ahn, showcasing her gentle folk-pop style and introspective songwriting.
  • D. Perfect Day
    Perfect Day is a song featured on the album "Wanderland" by American singer-songwriter Kelis.
  • E. A Perfect Day
    A Perfect Day is a 2015 drama-comedy film set during the Balkan conflict, following aid workers navigating the absurdities and moral dilemmas of war.
  • 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.