Triple
T22247272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naughty by Nature |
E549877
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Treach |
—
|
NE NERFINISHED |
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: Treach | Statement: [Naughty by Nature, hasPart, Treach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Treach Context triple: [Naughty by Nature, hasPart, Treach]
-
A.
Treach
chosen
Treach is an American rapper best known as the lead member of the hip hop group Naughty by Nature.
-
B.
Anthony "Treach" Criss
Anthony "Treach" Criss is an American rapper and actor best known as the lead MC of the hip hop group Naughty by Nature and for his roles in various films and television shows.
-
C.
P-Thugg
P-Thugg is a Lebanese-Canadian musician best known as the keyboardist and talk box player of the electro-funk duo Chromeo.
-
D.
TK Carter
TK Carter is an American actor and comedian known for his character roles in film and television, particularly in 1980s cult and comedy movies.
-
E.
Dré
Dré is the professional alias of Doctor Dré, an American DJ, radio personality, and former Yo! MTV Raps co-host known for his influence on hip-hop media.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e41d9408190bd770cf282e22753 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f13218d1f88190b64b7f301328fa98 |
completed | April 28, 2026, 10:18 p.m. |
Created at: April 16, 2026, 8:38 p.m.