Triple

T1352901
Position Surface form Disambiguated ID Type / Status
Subject Every Day I Have the Blues E28921 entity
Predicate lyricist P1360 FINISHED
Object Marion Sparks E291644 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: Marion Sparks | Statement: [Every Day I Have the Blues, lyricist, Marion Sparks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marion Sparks
Context triple: [Every Day I Have the Blues, lyricist, Marion Sparks]
  • A. Marion Sparks chosen
    Marion Sparks is a songwriter best known as the original composer of the blues standard "Every Day I Have the Blues."
  • B. Hattie Glascoe
    Hattie Glascoe was the first wife of American actor Louis Gossett Jr., known primarily for her brief marriage to him in the 1960s.
  • C. Mary Lee Ware
    Mary Lee Ware was an American philanthropist and patron of science best known for financing Harvard University’s famous Blaschka Glass Models of Plants (the “Glass Flowers”).
  • D. Mary Carr
    Mary Carr was an American character actress of the silent and early sound film era, often cast as kindly maternal figures.
  • E. Mary Lee Woods
    Mary Lee Woods was a British mathematician and computer scientist who worked on early computers at Ferranti and was the mother of World Wide Web inventor Tim Berners-Lee.
  • 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_69a498571d248190a0ac9eb02d97097f completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c26d0c4481908fddda89242a57b3 completed March 1, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69afbba3f0ec81909c73a0e3a0e0d3f2 completed March 10, 2026, 6:35 a.m.
Created at: March 1, 2026, 7:56 p.m.