Triple

T23474533
Position Surface form Disambiguated ID Type / Status
Subject Rainbow E570222 entity
Predicate producer P490 FINISHED
Object Damizza 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: Damizza | Statement: [Rainbow, producer, Damizza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damizza
Context triple: [Rainbow, producer, Damizza]
  • A. Damizza chosen
    Damizza is an American hip hop and R&B record producer and radio executive known for his work with major artists in the late 1990s and early 2000s.
  • B. Mazzanta
    Mazzanta is a coastal locality and seaside resort area within the municipality of Rosignano Marittimo in Tuscany, Italy.
  • C. Luzzara
    Luzzara is a municipality in the Province of Reggio Emilia in Italy’s Emilia-Romagna region, known for its location along the Po River and its agricultural and rural character.
  • D. Degioz
    Degioz is a small alpine village that serves as the main settlement and administrative center of the Valsavarenche valley in Italy’s Aosta Valley region.
  • E. Molazzana
    Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
  • 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_69e245af8a88819084f2704f6d265a92 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a70363488190bcbdedec5c2a945c completed April 29, 2026, 6:36 a.m.
Created at: April 17, 2026, 6 p.m.