Triple

T14103286
Position Surface form Disambiguated ID Type / Status
Subject Terrorist Threats E339435 entity
Predicate producer P490 FINISHED
Object Damizza E536173 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: Damizza | Statement: [Terrorist Threats, producer, Damizza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Damizza
Context triple: [Terrorist Threats, 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. Molazzana
    Molazzana is a small municipality in Tuscany, central Italy, known for its scenic location in the Garfagnana area of the Apennine mountains.
  • C. Dizzia
    Dizzia is the surname of American actress Maria Dizzia, known for her work in film, television, and theater.
  • D. Dainzú
    Dainzú is an ancient Zapotec archaeological site in Oaxaca, Mexico, notable for its terraced architecture and carved stone reliefs depicting ballgame scenes.
  • E. Lazzara
    Lazzara is the birth surname of acclaimed American actress and singer Bernadette Peters.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fbbf0b08190ba1ea3657d6db005 completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf02638881908eff75453b6a2aab completed May 7, 2026, 6:50 p.m.
Created at: April 9, 2026, 10:22 p.m.