Triple

T15328678
Position Surface form Disambiguated ID Type / Status
Subject Success Is Certain E366477 entity
Predicate producer P490 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: [Success Is Certain, producer, Nottz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nottz
Context triple: [Success Is Certain, 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 (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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dffd6f88190a0f031ee90c6a7d2 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff133f242c819099ec5288ae4a622f completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:16 a.m.