Triple

T20410922
Position Surface form Disambiguated ID Type / Status
Subject Technical Ecstasy E500583 entity
Predicate hasPart P35 FINISHED
Object You Won’t Change Me
"You Won’t Change Me" is a heavy, doom-laden track by Black Sabbath from their 1976 album *Technical Ecstasy*, noted for its dark atmosphere and introspective lyrics.
 E1430051 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: You Won’t Change Me | Statement: [Technical Ecstasy, hasPart, You Won’t Change Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: You Won’t Change Me
Context triple: [Technical Ecstasy, hasPart, You Won’t Change Me]
  • A. Don’t Change Me
    "Don’t Change Me" is a song that appears as the B-side to Sheena Easton’s hit single "Morning Train (Nine to Five)."
  • B. Change Me
    "Change Me" is a single from the album "The Return."
  • C. Ain't Gone Change
    "Ain't Gone Change" is a song featured on the album *The True Meaning* by rapper Cormega.
  • D. It Don’t Have to Change
    "It Don’t Have to Change" is a soulful R&B track by John Legend from his debut album "Get Lifted," showcasing his smooth vocals and reflective songwriting.
  • E. Things Have Changed
    "Things Have Changed" is a Grammy- and Oscar-winning song by Bob Dylan, known for its darkly reflective lyrics and frequent inclusion in his live concert performances.
  • 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: You Won’t Change Me
Triple: [Technical Ecstasy, hasPart, You Won’t Change Me]
Generated description
"You Won’t Change Me" is a heavy, doom-laden track by Black Sabbath from their 1976 album *Technical Ecstasy*, noted for its dark atmosphere and introspective lyrics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: You Won’t Change Me
Target entity description: "You Won’t Change Me" is a heavy, doom-laden track by Black Sabbath from their 1976 album *Technical Ecstasy*, noted for its dark atmosphere and introspective lyrics.
  • A. Don’t Change Me
    "Don’t Change Me" is a song that appears as the B-side to Sheena Easton’s hit single "Morning Train (Nine to Five)."
  • B. Change Me
    "Change Me" is a single from the album "The Return."
  • C. Ain't Gone Change
    "Ain't Gone Change" is a song featured on the album *The True Meaning* by rapper Cormega.
  • D. It Don’t Have to Change
    "It Don’t Have to Change" is a soulful R&B track by John Legend from his debut album "Get Lifted," showcasing his smooth vocals and reflective songwriting.
  • E. Things Have Changed
    "Things Have Changed" is a Grammy- and Oscar-winning song by Bob Dylan, known for its darkly reflective lyrics and frequent inclusion in his live concert performances.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a3ecb348190ae777f6276037828 completed April 20, 2026, 7:10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a087b21cb308190a9313a24a902b44d completed May 16, 2026, 2:11 p.m.
NEDg Description generation batch_6a08801702488190ba3122edb09cdaab completed May 16, 2026, 2:32 p.m.
NED2 Entity disambiguation (via description) batch_6a08811c9af081908d898134bf80452e completed May 16, 2026, 2:37 p.m.
Created at: April 16, 2026, 11:29 a.m.