Triple
T18483251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wonderful World of Cease A Leo |
E451617
|
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: [The Wonderful World of Cease A Leo, producer, Nottz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nottz Context triple: [The Wonderful World of Cease A Leo, 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.
Nott
Nott is an English surname borne by various notable individuals, including figures in military, political, and cultural history.
-
C.
Ynot
Ynot is a film production company known for its work on the acclaimed Mexican romantic drama "Like Water for Chocolate."
-
D.
Notsi
Notsi is an Oceanic language spoken in parts of Papua New Guinea, belonging to the Meso-Melanesian branch of the Austronesian language family.
-
E.
Nutt
Nutt is a surname most notably associated with David Nutt, a British neuropsychopharmacologist known for his research on the effects of drugs on the brain and for advising on drug policy.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e531d5951c81909f44362bc4101333 |
completed | April 19, 2026, 7:49 p.m. |
Created at: April 10, 2026, 11:35 a.m.