Triple
T9924874
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hollywood Africans |
E187895
|
entity |
| Predicate | depicts |
P1581
|
FINISHED |
| Object | Toxic |
E211631
|
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: Toxic | Statement: [Hollywood Africans, depicts, Toxic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toxic Context triple: [Hollywood Africans, depicts, Toxic]
-
A.
Toxic
chosen
"Toxic" is a 2003 dance-pop song by Britney Spears, widely regarded as one of her signature hits and praised for its distinctive production and iconic music video.
-
B.
Toxicity
"Toxicity" is a critically acclaimed 2001 metal album by System of a Down known for its aggressive sound, political lyrics, and fusion of alternative, nu, and Armenian-influenced metal styles.
-
C.
Nasty
"Nasty" is a 1986 hit single by Janet Jackson, known for its assertive lyrics, pioneering new jack swing sound, and iconic "nasty boys" refrain.
-
D.
Nasty
"Nasty" is a pop single by English singer Pixie Lott, known for its upbeat, retro-inspired sound and playful attitude.
-
E.
Toxic (music video)
"Toxic" (music video) is the visually striking, futuristic spy-themed music video for Britney Spears' hit single, noted for its stylized action sequences and iconic flight attendant imagery.
- 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_69ca82b22a688190b52c75bd48429c10 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb598651081908286763ff56ba57c |
completed | April 2, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20e143660819097a9fa96365bc25a |
completed | April 5, 2026, 7:24 a.m. |
Created at: March 30, 2026, 8:43 p.m.