Triple
T15418013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cameron Thomaz |
E369297
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Blacc Hollywood |
E830363
|
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: Blacc Hollywood | Statement: [Cameron Thomaz, notableWork, Blacc Hollywood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blacc Hollywood Context triple: [Cameron Thomaz, notableWork, Blacc Hollywood]
-
A.
Blacc Hollywood
chosen
Blacc Hollywood is a studio album by American rapper Wiz Khalifa that showcases his mainstream, party-oriented hip hop style.
-
B.
The Blackening
The Blackening is a 2022 horror-comedy film that satirizes slasher-movie tropes through a predominantly Black ensemble cast and sharp social commentary.
-
C.
Thug Holiday
Thug Holiday is a studio album by American rapper Trick Daddy that blends gritty Southern hip hop with introspective, socially conscious themes.
-
D.
Rich & Black
Rich & Black is a track by Raekwon featuring Nas, known for its gritty lyrical storytelling and classic New York hip-hop sound.
-
E.
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.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebce4f48190ba282ecb4fb2f6fa |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a78f9cc819097a6ff1e0cbdbcf3 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:20 a.m.