Triple
T13794980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XO |
E331490
|
entity |
| Predicate | hasArtist |
P5936
|
FINISHED |
| Object | Black Atlass |
E357303
|
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: Black Atlass | Statement: [XO, hasArtist, Black Atlass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Black Atlass Context triple: [XO, hasArtist, Black Atlass]
-
A.
Black Atlass
chosen
Black Atlass is a Canadian singer, songwriter, and producer known for his moody, genre-blending R&B and electronic music.
-
B.
Blacker
Blacker is a comparative form of the color term "black," indicating a greater degree of darkness or blackness.
-
C.
Bigger & Blacker
Bigger & Blacker is a 1999 stand-up comedy special and album by Chris Rock known for its sharp social commentary and provocative humor.
-
D.
Figures in Black
Figures in Black is a critical work of literary and cultural analysis by Henry Louis Gates Jr. that explores Black representation, language, and identity in African American literature.
-
E.
The Black Ghosts
The Black Ghosts are a British electronic music duo known for blending indie pop melodies with electro and dance influences.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0259b0e4819081c11ced694384fb |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8d893448190b37ecbf8d2ded239 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:11 p.m.