Triple

T3204220
Position Surface form Disambiguated ID Type / Status
Subject Control E67122 entity
Predicate hasPart P35 FINISHED
Object What Have You Done for Me Lately E67131 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: What Have You Done for Me Lately | Statement: [Control, hasPart, What Have You Done for Me Lately]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: What Have You Done for Me Lately
Context triple: [Control, hasPart, What Have You Done for Me Lately]
  • A. What Have You Done for Me Lately chosen
    "What Have You Done for Me Lately" is a 1986 hit R&B/pop single by Janet Jackson that helped establish her as a major pop star and showcased her assertive, independent image.
  • B. What Am I Gonna Do With You
    "What Am I Gonna Do With You" is a pop song by American singer Rebecca Black, known for her viral hit "Friday."
  • C. What You Do to Me
    "What You Do to Me" is a song featured on the album *Darkness and Light* by American singer-songwriter John Legend.
  • D. I Have Nothing
    "I Have Nothing" is a song powerfully performed by Whitney Houston, best known from the soundtrack of the 1992 film "The Bodyguard."
  • E. Not Myself Tonight
    "Not Myself Tonight" is a dance-pop single by Christina Aguilera known for its electro-influenced production and provocative, self-empowerment themes.
  • 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_69ad8589bd988190afa7ed2bdffb7b33 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaa54124c8190a22089ce2eaedab5 completed March 8, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24bcbb0e88190b4413c4ba3de0eeb completed March 12, 2026, 5:14 a.m.
Created at: March 8, 2026, 3:07 p.m.