Triple

T10698744
Position Surface form Disambiguated ID Type / Status
Subject SOS E252212 entity
Predicate notableSingle P3283 FINISHED
Object Good Days E865703 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: Good Days | Statement: [SOS, notableSingle, Good Days]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Days
Context triple: [SOS, notableSingle, Good Days]
  • A. Good Days chosen
    "Good Days" is a critically acclaimed R&B song by American singer SZA that blends introspective lyrics with dreamy, atmospheric production.
  • B. Good Time
    Good Time is a 2008 country music album by American singer-songwriter Alan Jackson, known for its traditional sound and hit singles like the title track.
  • C. Good Time
    Good Time is a 2017 crime thriller film directed by Josh and Benny Safdie, known for its intense, gritty portrayal of a desperate bank robber over the course of one chaotic night in New York City.
  • D. Good Time
    "Good Time" is a 2012 upbeat electropop duet by Owl City and Carly Rae Jepsen that became an international summer hit.
  • E. Nine Days
    Nine Days is a traditional Jewish mourning period leading up to Tisha B'Av, marked by various customs of abstention and reflection on the destruction of the Temples.
  • 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_69d6aa5cbabc8190973e683950d89faf completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd8a03848190bf68dd470bee103a completed April 9, 2026, 1:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbad110d9481908c3c0873424ec616 completed April 12, 2026, 2:32 p.m.
Created at: April 8, 2026, 9:12 p.m.