Triple

T16231312
Position Surface form Disambiguated ID Type / Status
Subject Jim Peterik E393986 entity
Predicate coWroteSong P20008 FINISHED
Object High on You E386484 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: High on You | Statement: [Jim Peterik, coWroteSong, High on You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High on You
Context triple: [Jim Peterik, coWroteSong, High on You]
  • A. High on You chosen
    "High on You" is a 1984 rock song by the American band Survivor, best known for its melodic hooks and chart success during the band's mid-1980s peak.
  • B. So High
    "So High" is an R&B/soul song by John Legend from his debut album "Get Lifted."
  • C. So High
    "So High" is a creative work associated with DeVon Harris, likely recognized as one of his most prominent or influential projects.
  • D. It's You
    "It's You" is a studio album by American progressive rock and jam band Umphrey's McGee, known for its intricate musicianship and genre-blending compositions.
  • E. Beautiful You
    Beautiful You is a satirical novel by Chuck Palahniuk that skewers consumer culture, sexuality, and power through a darkly comic story about a revolutionary line of female pleasure products.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d29fa248190943f4c3f7808908b completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0007a0ab08819082aea4c312c9ffc7 completed May 10, 2026, 4:20 a.m.
Created at: April 10, 2026, 5:04 a.m.