Triple

T8002237
Position Surface form Disambiguated ID Type / Status
Subject Tasty E186276 entity
Predicate hasTrack P3284 FINISHED
Object Attention E340542 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: Attention | Statement: [Tasty, hasTrack, Attention]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Attention
Context triple: [Tasty, hasTrack, Attention]
  • A. Attention
    "Attention" is a 2017 pop song by American singer-songwriter Charlie Puth, known for its catchy bassline, minimalist production, and themes of emotional manipulation in relationships.
  • B. Attention chosen
    "Attention" is a track from The Weeknd’s 2016 album *Starboy*, showcasing his signature blend of moody R&B and atmospheric pop production.
  • C. Focus
    "Focus" is a track from the album "Afrodisiac," known for its smooth R&B production and introspective lyrical themes.
  • D. Focus
    Focus is a 2015 romantic crime comedy-drama film starring Will Smith and Margot Robbie as con artists entangled in high-stakes schemes and a complicated relationship.
  • E. Focus
    Focus is a 1961 jazz album by saxophonist Stan Getz, renowned for its innovative blend of cool jazz improvisation with string orchestra arrangements.
  • 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_69ca82aaaf24819084b94d18f699ba53 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3cf2918081909ee0afab11caed63 completed March 31, 2026, 3:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe11aefc88190bcf614e936455927 completed March 31, 2026, 2:58 p.m.
Created at: March 30, 2026, 5:18 p.m.