Triple

T8980774
Position Surface form Disambiguated ID Type / Status
Subject Eleanora Fagan E214517 entity
Predicate hasNotableWork P4 FINISHED
Object Strange Fruit E178488 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: Strange Fruit | Statement: [Eleanora Fagan, hasNotableWork, Strange Fruit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strange Fruit
Context triple: [Eleanora Fagan, hasNotableWork, Strange Fruit]
  • A. Strange Fruit chosen
    "Strange Fruit" is a haunting protest song, most famously performed by Billie Holiday, that powerfully condemns the lynching of Black Americans in the United States.
  • B. Sinnerman
    "Sinnerman" is a powerful, extended jazz-gospel song by Nina Simone, renowned for its driving piano, intense vocals, and use in numerous films and television shows.
  • C. Mississippi Goddam
    "Mississippi Goddam" is a powerful 1964 protest song by Nina Simone that confronts racism and violence in the United States, particularly in the Jim Crow South.
  • D. I Got to Weep
    "I Got to Weep" is a reggae song by Burning Spear featured on his influential album "Social Living."
  • E. Go Down Dead
    Go Down Dead is a hardboiled crime novel by Shane Stevens, known for its gritty depiction of urban gang life and psychological realism.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a76f748190a4abad5d53d58fa8 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc974f0f8819085c63deb53b95b80 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:03 p.m.