Triple

T13794710
Position Surface form Disambiguated ID Type / Status
Subject Beauty Behind the Madness E331485 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: [Beauty Behind the Madness, producer, Ali Payami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ali Payami
Context triple: [Beauty Behind the Madness, 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 Soheili
    Ali Soheili was an Iranian politician who served as prime minister during the early 1940s, a turbulent period marked by World War II and foreign occupation of Iran.
  • C. Manouchehr Eghbal
    Manouchehr Eghbal was an Iranian physician and politician who served as prime minister under Shah Mohammad Reza Pahlavi during the late 1950s.
  • D. Ali Asghar Hekmat
    Ali Asghar Hekmat was an influential Iranian statesman and intellectual who served in high-ranking governmental roles during the Pahlavi era, including the premiership.
  • E. 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."
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0259b0e4819081c11ced694384fb completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce667c248190a9d0a0f1e9e228ae completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:11 p.m.