Triple

T18021665
Position Surface form Disambiguated ID Type / Status
Subject The Essential Leonard Cohen E431131 entity
Predicate includesWork P2011 FINISHED
Object So Long, Marianne 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: So Long, Marianne | Statement: [The Essential Leonard Cohen, includesWork, So Long, Marianne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: So Long, Marianne
Context triple: [The Essential Leonard Cohen, includesWork, So Long, Marianne]
  • A. So Long, Marianne chosen
    "So Long, Marianne" is a classic Leonard Cohen song, celebrated as one of his most enduring and intimate folk ballads about love and separation.
  • B. Dashwood
    Dashwood is the surname of the central family in Jane Austen's novel "Sense and Sensibility," including the character Elinor Dashwood.
  • C. Persuasion
    "Persuasion" is a television film adaptation of Jane Austen's novel, featuring Sophie Thompson in a prominent role.
  • D. Sense and Sensibility
    Sense and Sensibility is a 1995 British period drama film adaptation of Jane Austen’s novel, acclaimed for its screenplay by and starring Emma Thompson.
  • E. Fanny Herself
    Fanny Herself is a 1917 coming-of-age novel by Edna Ferber that follows an ambitious young Jewish woman striving for independence and success in early 20th-century America.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9c299c48190b0cceecf77cb6de9 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 10:24 a.m.