Triple
T4553799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Naked Truth |
E120432
|
entity |
| Predicate | hasProducer |
P30366
|
FINISHED |
| Object | Nottz |
E65307
|
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: Nottz | Statement: [The Naked Truth, hasProducer, Nottz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nottz Context triple: [The Naked Truth, hasProducer, Nottz]
-
A.
Nottz
chosen
Nottz is an American hip-hop producer known for his soulful, sample-based beats and work with artists such as Kanye West, Busta Rhymes, and Snoop Dogg.
-
B.
Notsi
Notsi is an Oceanic language spoken in parts of Papua New Guinea, belonging to the Meso-Melanesian branch of the Austronesian language family.
-
C.
Bessi
The Bessi were an ancient Thracian tribe known from classical sources for inhabiting mountainous regions and serving as fierce, often rebellious, warriors and priests.
-
D.
Y-Not
Y-Not is a music producer best known for working on the influential hip-hop album "Electric Circus."
-
E.
Beyton
Beyton is a small rural village and civil parish in the English county of Suffolk, known for its traditional village green and historic buildings.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd58127ed08190a04962a43afb888b |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc575e3388190ac95b9e0537fb701 |
completed | March 20, 2026, 10:08 p.m. |
Created at: March 20, 2026, 1:09 p.m.