Triple

T19936077
Position Surface form Disambiguated ID Type / Status
Subject Leonard Cohen discography E479178 entity
Predicate includes P1393 FINISHED
Object Dear Heather 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: Dear Heather | Statement: [Leonard Cohen discography, includes, Dear Heather]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dear Heather
Context triple: [Leonard Cohen discography, includes, Dear Heather]
  • A. Dear Heather chosen
    Dear Heather is a 2004 studio album by Canadian singer-songwriter Leonard Cohen, noted for its reflective, experimental blend of spoken word and song.
  • B. Dear Heather
    "Dear Heather" is a children's book by author Sharon Robinson that explores themes of family, identity, and growing up.
  • C. Dear One
    "Dear One" is a song from the musical "Kiss of the Spider Woman," known for its emotional depth and contribution to the show's dramatic narrative.
  • D. The Heart of Rachael
    The Heart of Rachael is a silent-era American film drama associated with actor-director Howard Hickman.
  • E. Her Too
    "Her Too" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a173a448190a25cb859803e3afc completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.