Triple

T7418301
Position Surface form Disambiguated ID Type / Status
Subject Witness E171182 entity
Predicate producer P490 FINISHED
Object Ali Payami E340531 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: Ali Payami | Statement: [Witness, producer, Ali Payami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali Payami
Context triple: [Witness, producer, Ali Payami]
  • A. Ali Payami chosen
    Ali Payami is a Swedish-Iranian record producer and songwriter known for his work on major pop and electronic hits with artists like The Weeknd, Taylor Swift, and Ariana Grande.
  • B. Ali Mosaffa
    Ali Mosaffa is a prominent Iranian actor and filmmaker known for his nuanced performances in art-house cinema and his work in acclaimed films such as "Leila" and "The Past."
  • C. Parviz Parastui
    Parviz Parastui is a prominent Iranian actor acclaimed for his versatile performances in both drama and comedy across film, television, and theater.
  • D. Saeed Roustayi
    Saeed Roustayi is an acclaimed contemporary Iranian filmmaker best known internationally for his socially charged dramas such as "Life and a Day" and "Just 6.5."
  • E. Parviz Sabeti
    Parviz Sabeti is an Iranian former high-ranking security official best known for his influential role in the Shah-era intelligence and internal security apparatus before the 1979 Iranian Revolution.
  • 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_69c68a625d048190af70eb8b63bec5a0 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f2c9314c8190855b79a2e6ef3e9b completed March 27, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c51901081908ad8513c860408eb completed March 28, 2026, 8:38 p.m.
Created at: March 27, 2026, 3:11 p.m.