Triple

T2258093
Position Surface form Disambiguated ID Type / Status
Subject War & Leisure E49772 entity
Predicate hasSingle P3282 FINISHED
Object Pineapple Skies E249538 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: Pineapple Skies | Statement: [War & Leisure, hasSingle, Pineapple Skies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pineapple Skies
Context triple: [War & Leisure, hasSingle, Pineapple Skies]
  • A. Pineapple Skies chosen
    "Pineapple Skies" is a soulful, retro-tinged R&B track by Miguel known for its uplifting vibe and lush, atmospheric production.
  • B. Mirror to the Sky
    Mirror to the Sky is a 2023 progressive rock studio album by the English band Yes, noted for its expansive compositions and classic symphonic rock sound.
  • C. Calico Skies
    "Calico Skies" is a gentle, acoustic love song by Paul McCartney, featured on his 1997 album *Flaming Pie*.
  • D. Sky's the Limit
    "Sky's the Limit" is a posthumously released song by The Notorious B.I.G., featuring 112, known for its reflective lyrics and soulful production.
  • E. Pie in the Sky
    Pie in the Sky is a British television drama-comedy series about a detective who balances police work with running his own restaurant.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc15839fc8190b17e040c4c765a8c completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae7f067f208190a399e2b1a83badd1 completed March 9, 2026, 8:04 a.m.
Created at: March 4, 2026, 7:48 p.m.