Triple

T13793412
Position Surface form Disambiguated ID Type / Status
Subject Food & Liquor E331454 entity
Predicate hasPart P35 FINISHED
Object Sunshine E329858 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: Sunshine | Statement: [Food & Liquor, hasPart, Sunshine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sunshine
Context triple: [Food & Liquor, hasPart, Sunshine]
  • A. Sunshine chosen
    "Sunshine" is a track by Pusha T from his 2015 prelude album *King Push – Darkest Before Dawn: The Prelude*, known for its dark, politically charged lyricism and atmospheric production.
  • B. Sunshine
    "Sunshine" is a 2007 science fiction thriller film directed by Danny Boyle about a crew’s perilous mission to reignite the dying sun, featuring Cillian Murphy in a leading role.
  • C. Sunshine
    Sunshine is a song that forms part of the music release "Tender Lover."
  • D. Sunshine
    "Sunshine" is the second studio album by British pop group S Club 7, featuring upbeat dance-pop tracks that helped cement their early-2000s chart success.
  • E. Sunshine
    "Sunshine" is a 1973 American made-for-television drama film, co-written by Carol Sobieski, about a young mother with terminal cancer who records audio diaries for her infant daughter.
  • 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_69de0258a1408190a837d17c6d6a2bd4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8d893448190b37ecbf8d2ded239 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:11 p.m.