Triple

T22821310
Position Surface form Disambiguated ID Type / Status
Subject Pixie Lott E565235 entity
Predicate notableWork P4 FINISHED
Object What Do You Take Me For? 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: What Do You Take Me For? | Statement: [Pixie Lott, notableWork, What Do You Take Me For?]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: What Do You Take Me For?
Context triple: [Pixie Lott, notableWork, What Do You Take Me For?]
  • A. What Do You Take Me For? chosen
    "What Do You Take Me For?" is a pop-dance single by English singer Pixie Lott, known for its upbeat production and confident, sassy lyrics.
  • B. What Can I Do for You?
    "What Can I Do for You?" is a 1974 funk-infused soul track by the American vocal group Labelle, showcasing their powerful harmonies and socially conscious style.
  • C. What Do You Want Me to Do?
    "What Do You Want Me to Do?" is a song by country music artist Willie Nelson featured on his album *The Willie Way*.
  • D. For You For Me
    "For You For Me" is a track from Jon Anderson’s 1980 progressive rock solo album "Song of Seven."
  • E. You for Me
    "You for Me" is a 1952 romantic comedy film starring Jane Greer, centered on a love triangle involving a nurse, a wealthy patient, and a doctor.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dcffdd88190a5f9c780c71b5053 completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:33 p.m.