Triple

T18021606
Position Surface form Disambiguated ID Type / Status
Subject Ten New Songs E431129 entity
Predicate nextWork P9710 FINISHED
Object Dear Heather
Dear Heather is a 2004 studio album by Canadian singer-songwriter Leonard Cohen, noted for its reflective, experimental blend of spoken word and song.
E1301618 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: Dear Heather | Statement: [Ten New Songs, nextWork, Dear Heather]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dear Heather
Context triple: [Ten New Songs, nextWork, Dear Heather]
  • A. Dear Heather
    "Dear Heather" is a children's book by author Sharon Robinson that explores themes of family, identity, and growing up.
  • B. 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.
  • C. The Heart of Rachael
    The Heart of Rachael is a silent-era American film drama associated with actor-director Howard Hickman.
  • D. Her Too
    "Her Too" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics.
  • E. Dear Edward
    Dear Edward is a dramatic work by American playwright and screenwriter Halley Feiffer, known for her darkly comic, emotionally incisive storytelling.
  • 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: Dear Heather
Triple: [Ten New Songs, nextWork, Dear Heather]
Generated description
Dear Heather is a 2004 studio album by Canadian singer-songwriter Leonard Cohen, noted for its reflective, experimental blend of spoken word and song.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dear Heather
Target entity description: Dear Heather is a 2004 studio album by Canadian singer-songwriter Leonard Cohen, noted for its reflective, experimental blend of spoken word and song.
  • A. Dear Heather
    "Dear Heather" is a children's book by author Sharon Robinson that explores themes of family, identity, and growing up.
  • B. 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.
  • C. The Heart of Rachael
    The Heart of Rachael is a silent-era American film drama associated with actor-director Howard Hickman.
  • D. Her Too
    "Her Too" is a soulful R&B song by American singer-songwriter SiR, known for its smooth production and introspective lyrics.
  • E. Dear Edward
    Dear Edward is a dramatic work by American playwright and screenwriter Halley Feiffer, known for her darkly comic, emotionally incisive storytelling.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b9c299c48190b0cceecf77cb6de9 completed April 19, 2026, 11:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a034328fef08190a3f78f8bee859d24 completed May 12, 2026, 3:11 p.m.
NEDg Description generation batch_6a03447c0530819082d554592eec03ca completed May 12, 2026, 3:17 p.m.
NED2 Entity disambiguation (via description) batch_6a034552e424819087b23bcf3f688523 completed May 12, 2026, 3:20 p.m.
Created at: April 10, 2026, 10:24 a.m.