Triple

T23262515
Position Surface form Disambiguated ID Type / Status
Subject High Off Life E582051 entity
Predicate producer P490 FINISHED
Object Ambezza E1057225 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: Ambezza | Statement: [High Off Life, producer, Ambezza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambezza
Context triple: [High Off Life, producer, Ambezza]
  • A. Ambezza chosen
    Ambezza is a German hip-hop producer best known for crafting beats for major international artists, including co-producing DaBaby’s hit single "ROCKSTAR."
  • B. Ambel
    Ambel is a small municipality in the Campo de Borja comarca of the province of Zaragoza, in the autonomous community of Aragon, Spain.
  • C. Banzebi
    Banzebi are a subgroup of the Nzebi people, an ethnic community primarily found in Central Africa, especially in Gabon and surrounding regions.
  • D. Ambo
    Ambo is a prominent town in central Ethiopia’s Oromia Region, known for its natural mineral springs and role as a local economic and educational center.
  • E. Ambo
    Ambo is a coastal village on Tarawa Atoll in Kiribati, known for its role as a small residential and administrative community in the central Pacific.
  • 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f194c9f33c819082ef6b380fc594dd completed April 29, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f7050388190a0848037c96049c0 completed May 19, 2026, 10:46 a.m.
Created at: April 17, 2026, 4:11 p.m.