Triple
T20334058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Born and Raised |
E492557
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Nottz |
—
|
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: Nottz | Statement: [Born and Raised, producer, Nottz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nottz Context triple: [Born and Raised, producer, 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.
Zotnick
Zotnick is the central protagonist of the game "Battle Cry," around whom the story and primary gameplay revolve.
-
C.
Nott
Nott is an English surname borne by various notable individuals, including figures in military, political, and cultural history.
-
D.
Notzot
Notzot is a Hebrew-language novel by Israeli author Haim Be’er, recognized for its rich literary style and exploration of Israeli society and Jewish identity.
-
E.
Ynot
Ynot is a film production company known for its work on the acclaimed Mexican romantic drama "Like Water for Chocolate."
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e94e2481908898e0a3513e1209 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:23 a.m.