Triple

T19645784
Position Surface form Disambiguated ID Type / Status
Subject Country Joe and the Fish E471667 entity
Predicate notableSong P4 FINISHED
Object Not So Sweet Martha Lorraine — NE NERFINISHED

How this triple was built (3 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: Not So Sweet Martha Lorraine | Statement: [Country Joe and the Fish, notableSong, Not So Sweet Martha Lorraine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Not So Sweet Martha Lorraine
Context triple: [Country Joe and the Fish, notableSong, Not So Sweet Martha Lorraine]
  • A. Mostly Martha
    Mostly Martha is a 2001 German romantic comedy-drama film about a perfectionist chef whose orderly life is disrupted when she must care for her young niece.
  • B. The Martha Rules
    The Martha Rules is a business advice book by Martha Stewart that outlines her principles for achieving entrepreneurial success and building a strong brand.
  • C. Marnie
    Marnie is a 1964 psychological thriller film directed by Alfred Hitchcock, starring Tippi Hedren and Sean Connery, about a troubled woman with a mysterious past and compulsive thieving.
  • D. Marnie
    Marnie is the given name of Darcey Bussell, the renowned British ballerina and former principal dancer of The Royal Ballet.
  • E. Miss Hawthorne
    Miss Hawthorne is a strong-willed, eccentric white witch and village occultist who plays a key role in uncovering the supernatural events in the Doctor Who serial "The Daemons."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Not So Sweet Martha Lorraine
Target entity description: "Not So Sweet Martha Lorraine" is a psychedelic rock song by Country Joe and the Fish, known for its surreal lyrics and prominent organ-driven sound from the late 1960s counterculture era.
  • A. Mostly Martha
    Mostly Martha is a 2001 German romantic comedy-drama film about a perfectionist chef whose orderly life is disrupted when she must care for her young niece.
  • B. The Martha Rules
    The Martha Rules is a business advice book by Martha Stewart that outlines her principles for achieving entrepreneurial success and building a strong brand.
  • C. Marnie
    Marnie is a 1964 psychological thriller film directed by Alfred Hitchcock, starring Tippi Hedren and Sean Connery, about a troubled woman with a mysterious past and compulsive thieving.
  • D. Marnie
    Marnie is the given name of Darcey Bussell, the renowned British ballerina and former principal dancer of The Royal Ballet.
  • E. Miss Hawthorne
    Miss Hawthorne is a strong-willed, eccentric white witch and village occultist who plays a key role in uncovering the supernatural events in the Doctor Who serial "The Daemons."
  • F. None of above. chosen

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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641250e108190a707452fefc87041 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.