Triple

T22119140
Position Surface form Disambiguated ID Type / Status
Subject Between Today and Yesterday E546617 entity
Predicate hasTrack P3284 FINISHED
Object Look at My Face 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: Look at My Face | Statement: [Between Today and Yesterday, hasTrack, Look at My Face]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Look at My Face
Context triple: [Between Today and Yesterday, hasTrack, Look at My Face]
  • A. 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.
  • B. 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.
  • C. That Face
    "That Face" is a darkly comic stage play by Polly Stenham about a dysfunctional upper-middle-class British family, notable for its intense psychological drama and acclaimed London productions.
  • D. Show Us Your Face
    Show Us Your Face was a recurring viewer-participation segment on the British television show TFI Friday, in which audience members or viewers were humorously spotlighted or revealed on air.
  • E. I'm the Face
    "I'm the Face" is an early 1964 single by the English rock band The Who (then known as The High Numbers), reflecting their Mod-era rhythm and blues style.
  • 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: Look at My Face
Target entity description: "Look at My Face" is a song by Yoko Ono from her 1973 avant-garde rock album "Between My Head and the Sky."
  • A. 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.
  • B. 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.
  • C. That Face
    "That Face" is a darkly comic stage play by Polly Stenham about a dysfunctional upper-middle-class British family, notable for its intense psychological drama and acclaimed London productions.
  • D. Show Us Your Face
    Show Us Your Face was a recurring viewer-participation segment on the British television show TFI Friday, in which audience members or viewers were humorously spotlighted or revealed on air.
  • E. I'm the Face
    "I'm the Face" is an early 1964 single by the English rock band The Who (then known as The High Numbers), reflecting their Mod-era rhythm and blues style.
  • 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_69e11e38b3848190ac3a4fa97d56e65a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12950f5348190b204fbc347fd5dab completed April 28, 2026, 9:40 p.m.
Created at: April 16, 2026, 8:31 p.m.