Triple

T21001552
Position Surface form Disambiguated ID Type / Status
Subject Miami Sound Machine E517301 entity
Predicate notableWork P4 FINISHED
Object Anything for You NE NERFINISHED

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: Anything for You | Statement: [Miami Sound Machine, notableWork, Anything for You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anything for You
Context triple: [Miami Sound Machine, notableWork, Anything for You]
  • A. Anything for You chosen
    "Anything for You" is a 1988 pop ballad by Cuban-American singer Gloria Estefan that became one of her signature hits and a major international success.
  • B. Anything for You
    "Anything for You" is an R&B song produced and written by Keith Crouch, known for its smooth, soulful style and polished production.
  • C. All for You
    All for You is a song written by Wayne Garfield, best known as one of his notable contributions to contemporary music.
  • D. All for You
    "All for You" is a jazz song associated with Diana Krall’s tribute to the Nat King Cole Trio, reflecting the classic vocal and piano trio style of Cole’s era.
  • E. All for You
    All for You is a 2001 dance-pop and R&B song by Janet Jackson that became one of her signature hits, known for its upbeat groove and chart-topping success.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc25c1f8819086bdbfd89d390f5f completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:52 p.m.