Triple

T4915890
Position Surface form Disambiguated ID Type / Status
Subject Famous Blue Raincoat E110347 entity
Predicate album P1995 FINISHED
Object Songs of Love and Hate E472166 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: Songs of Love and Hate | Statement: [Famous Blue Raincoat, album, Songs of Love and Hate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Songs of Love and Hate
Context triple: [Famous Blue Raincoat, album, Songs of Love and Hate]
  • A. Songs of Love and Hate chosen
    Songs of Love and Hate is a 1971 studio album by Canadian singer-songwriter Leonard Cohen, noted for its stark, emotionally intense songs and poetic lyricism.
  • B. Love and Hisses
    Love and Hisses is a 1937 American comedy film best known for featuring comedian Bert Lahr in an early screen role.
  • C. The Crimes of Love
    The Crimes of Love is a collection of short stories by the Marquis de Sade that blends gothic melodrama with philosophical explorations of desire, morality, and cruelty.
  • D. Love in Song
    "Love in Song" is a melancholic, orchestral-tinged track by Paul McCartney and Wings from their 1975 album *Venus and Mars*.
  • E. Love's Cruelty
    Love's Cruelty is a Caroline-era tragic play by James Shirley that explores themes of passion, betrayal, and moral corruption in a courtly setting.
  • 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_69bd44132b94819088522d92beaadc78 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6fa404f881908b4f983983ac7076 completed March 20, 2026, 4:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69be6fee5f1c8190ba947811048c3db4 completed March 21, 2026, 10:16 a.m.
Created at: March 20, 2026, 1:29 p.m.