Triple

T6650341
Position Surface form Disambiguated ID Type / Status
Subject Joy Division E150802 entity
Predicate single P3283 FINISHED
Object Love Will Tear Us Apart E609761 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: Love Will Tear Us Apart | Statement: [Joy Division, single, Love Will Tear Us Apart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Love Will Tear Us Apart
Context triple: [Joy Division, single, Love Will Tear Us Apart]
  • A. Love Will Tear Us Apart chosen
    "Love Will Tear Us Apart" is a seminal 1980 post-punk single by Joy Division, widely regarded as one of the most influential and enduring songs in alternative music.
  • B. Breaking Us in Two
    "Breaking Us in Two" is a melodic pop-rock ballad by English musician Joe Jackson, released in the early 1980s and known for its reflective lyrics and prominent use of piano.
  • C. Torn Apart
    Torn Apart is a 1990s drama film starring Cecilia Peck that follows a forbidden love story set against the backdrop of the Israeli–Palestinian conflict.
  • D. So Many Tears
    "So Many Tears" is a reflective and emotionally charged song by Tupac Shakur that explores themes of pain, loss, and inner turmoil.
  • E. There Will Be Tears
    "There Will Be Tears" is a pop and R&B-influenced song by British singer-songwriter and producer Mr Hudson, known for its emotional lyrics and polished, melodic production.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b04408508190a87a669b32364368 completed March 27, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f79642508190a2e3810e347f2e93 completed March 27, 2026, 9:33 p.m.
Created at: March 27, 2026, 2:01 p.m.