Triple

T13794337
Position Surface form Disambiguated ID Type / Status
Subject Save Your Tears E331477 entity
Predicate album P1995 FINISHED
Object After Hours E333396 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: After Hours | Statement: [Save Your Tears, album, After Hours]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: After Hours
Context triple: [Save Your Tears, album, After Hours]
  • A. After Hours
    After Hours is a blues-rock album by Irish guitarist Gary Moore that showcases his return to traditional blues with soulful guitar work and guest appearances from notable blues artists.
  • B. After Hours
    After Hours is a music album by singer-songwriter and producer Linda Perry, showcasing her distinctive blend of rock, pop, and introspective songwriting.
  • C. After Hours chosen
    After Hours is a critically acclaimed 2020 studio album by Canadian singer The Weeknd, known for its dark, cinematic blend of R&B, pop, and synthwave and hit singles like "Blinding Lights."
  • D. After Hours
    After Hours is a 1985 dark comedy film directed by Martin Scorsese that follows a man's increasingly bizarre and nightmarish adventures during a single night in New York City.
  • E. The After Hours
    "The After Hours" is a classic 1960 episode of the anthology series The Twilight Zone, known for its eerie department-store setting and twist involving mannequins coming to life.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0259b0e4819081c11ced694384fb completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c0e3642481908a9b84d8d71fb4d4 completed May 3, 2026, 9:40 p.m.
Created at: April 9, 2026, 10:11 p.m.