Triple

T14962551
Position Surface form Disambiguated ID Type / Status
Subject Superior Donuts E373097 entity
Predicate castMember P1668 FINISHED
Object Maz Jobrani E996109 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: Maz Jobrani | Statement: [Superior Donuts, castMember, Maz Jobrani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maz Jobrani
Context triple: [Superior Donuts, castMember, Maz Jobrani]
  • A. Maz Jobrani chosen
    Maz Jobrani is an Iranian-American comedian and actor known for his stand-up specials, roles in film and television, and commentary on Middle Eastern and immigrant experiences.
  • B. Ramin Mazaheri
    Ramin Mazaheri is an Iranian journalist and political analyst known for his reporting and commentary on international affairs and socio-political issues.
  • C. Kevin Nazemi
    Kevin Nazemi is an American entrepreneur best known as a co-founder of the health insurance startup Oscar Health.
  • D. Younes Nazarian
    Younes Nazarian was an Iranian-American businessman, philanthropist, and major benefactor of educational and cultural institutions in the United States and Israel.
  • E. Sam Asghari
    Sam Asghari is an Iranian-American fitness trainer, model, and actor best known for his high-profile relationship and marriage to pop star Britney Spears.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6d0487c8190b7754af8c5014b37 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bdeec408190893d1db9254da24e completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:40 a.m.