Triple

T20434426
Position Surface form Disambiguated ID Type / Status
Subject All for You: A Dedication to the Nat King Cole Trio E501215 entity
Predicate hasTrack P3284 FINISHED
Object You’re Looking at Me NE NERFINISHED

How this triple was built (3 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: You’re Looking at Me | Statement: [All for You: A Dedication to the Nat King Cole Trio, hasTrack, You’re Looking at Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: You’re Looking at Me
Context triple: [All for You: A Dedication to the Nat King Cole Trio, hasTrack, You’re Looking at Me]
  • A. When You Look at Me
    "When You Look at Me" is a pop-R&B single by Christina Milian, known for its catchy melody and themes of self-confidence and resisting superficial judgments.
  • B. Lookin’ at Me
    "Lookin’ at Me" is a hip hop single by Mase featuring Puff Daddy, known for its smooth production and catchy hook from Mase’s debut album "Harlem World."
  • C. Look at Me
    "Look at Me" is a critically acclaimed novel by Jennifer Egan that explores identity, celebrity culture, and the impact of media in contemporary American life.
  • D. Look at Me
    "Look at Me" is a song best known as the breakout hit by American rapper XXXTentacion, noted for its raw, distorted sound and viral rise on streaming platforms.
  • E. Who Look at Me
    "Who Look at Me" is a book by poet and activist June Jordan that combines poetry and commentary to explore race, identity, and the Black experience in America.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: You’re Looking at Me
Target entity description: "You’re Looking at Me" is a jazz vocal track interpreted by Diana Krall on her tribute album to the Nat King Cole Trio.
  • A. When You Look at Me
    "When You Look at Me" is a pop-R&B single by Christina Milian, known for its catchy melody and themes of self-confidence and resisting superficial judgments.
  • B. Lookin’ at Me
    "Lookin’ at Me" is a hip hop single by Mase featuring Puff Daddy, known for its smooth production and catchy hook from Mase’s debut album "Harlem World."
  • C. Look at Me
    "Look at Me" is a critically acclaimed novel by Jennifer Egan that explores identity, celebrity culture, and the impact of media in contemporary American life.
  • D. Look at Me
    "Look at Me" is a song best known as the breakout hit by American rapper XXXTentacion, noted for its raw, distorted sound and viral rise on streaming platforms.
  • E. Who Look at Me
    "Who Look at Me" is a book by poet and activist June Jordan that combines poetry and commentary to explore race, identity, and the Black experience in America.
  • F. None of above. chosen

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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685ecf7ac81908e9c2ef4348fb281 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.