Triple

T21679134
Position Surface form Disambiguated ID Type / Status
Subject You Learn E535053 entity
Predicate followedBySingle P134 FINISHED
Object Head over Feet 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: Head over Feet | Statement: [You Learn, followedBySingle, Head over Feet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Head over Feet
Context triple: [You Learn, followedBySingle, Head over Feet]
  • A. Head over Feet chosen
    "Head over Feet" is a hit pop-rock ballad by Alanis Morissette from her landmark 1995 album "Jagged Little Pill," known for its candid, conversational lyrics about an unexpectedly deep romantic relationship.
  • B. Come on Feet
    "Come on Feet" is an underground hip-hop track by Quasimoto, the alter ego of producer Madlib, known for its off-kilter beats, psychedelic jazz samples, and surreal, pitch-shifted vocals.
  • C. At Your Feet
    "At Your Feet" is a song recorded by the American rock band Bombshell.
  • D. Knocks Me Off My Feet
    "Knocks Me Off My Feet" is a soulful love ballad by Stevie Wonder, celebrated for its lush harmonies and heartfelt lyrics.
  • E. Hot Feet
    Hot Feet is a Broadway jukebox musical that blends Earth, Wind & Fire songs with a modern retelling of "The Red Shoes," choreographed and directed by Maurice Hines.
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef8a11ce548190aaff404aed6a76cd completed April 27, 2026, 4:08 p.m.
Created at: April 16, 2026, 6:43 p.m.