Triple
T15880559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bitter Fruit |
E385064
|
entity |
| Predicate | betterKnownAs |
P39
|
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: [Bitter Fruit, betterKnownAs, Strange Fruit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strange Fruit Context triple: [Bitter Fruit, betterKnownAs, 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15600863c8190a2dbfd6d7ff495d7 |
completed | April 16, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa9529ac48190993d1af234faea3b |
completed | May 9, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:51 a.m.