Triple

T13696155
Position Surface form Disambiguated ID Type / Status
Subject Yellow Tape E328388 entity
Predicate hasPart P35 FINISHED
Object High As Hell
High As Hell is a song featured on the hip-hop project "Yellow Tape."
E1055147 NE FINISHED

How this triple was built (4 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 As Hell | Statement: [Yellow Tape, hasPart, High As Hell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: High As Hell
Context triple: [Yellow Tape, hasPart, High As Hell]
  • A. Raising Hell
    Raising Hell is a landmark 1986 hip-hop album by Run-D.M.C. that helped bring rap music into the mainstream and solidified the genre’s commercial and cultural impact.
  • B. Straight to Hell
    "Straight to Hell" is a 1982 song by the British punk rock band The Clash, known for its haunting melody and politically charged lyrics about immigration and displacement.
  • C. Straight Out of Hell
    Straight Out of Hell is a 2013 power metal album by German band Helloween, known for its energetic, melodic style and modern take on the group’s classic sound.
  • D. It Must Be Hell
    "It Must Be Hell" is a politically charged rock song by the Rolling Stones, featured on their 1983 album "Undercover."
  • E. Who The Hell's In It
    "Who The Hell's In It" is a book by film historian and director Peter Bogdanovich that offers biographical essays and personal reflections on classic Hollywood actors.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: High As Hell
Triple: [Yellow Tape, hasPart, High As Hell]
Generated description
High As Hell is a song featured on the hip-hop project "Yellow Tape."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: High As Hell
Target entity description: High As Hell is a song featured on the hip-hop project "Yellow Tape."
  • A. Raising Hell
    Raising Hell is a landmark 1986 hip-hop album by Run-D.M.C. that helped bring rap music into the mainstream and solidified the genre’s commercial and cultural impact.
  • B. Straight to Hell
    "Straight to Hell" is a 1982 song by the British punk rock band The Clash, known for its haunting melody and politically charged lyrics about immigration and displacement.
  • C. Straight Out of Hell
    Straight Out of Hell is a 2013 power metal album by German band Helloween, known for its energetic, melodic style and modern take on the group’s classic sound.
  • D. It Must Be Hell
    "It Must Be Hell" is a politically charged rock song by the Rolling Stones, featured on their 1983 album "Undercover."
  • E. Who The Hell's In It
    "Who The Hell's In It" is a book by film historian and director Peter Bogdanovich that offers biographical essays and personal reflections on classic Hollywood actors.
  • F. None of above. chosen

Provenance (5 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8773f388190b2413b1e05fd5fd7 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79453395481909d651cb3a128f23d completed May 3, 2026, 6:30 p.m.
NEDg Description generation batch_69f79655d5f08190a3cbf3e12e2ffa67 completed May 3, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_69f7972a1cf48190a1d435227414967a completed May 3, 2026, 6:42 p.m.
Created at: April 9, 2026, 9:54 p.m.