Triple

T15329926
Position Surface form Disambiguated ID Type / Status
Subject Boss E366505 entity
Predicate executiveProducer P7225 FINISHED
Object Farhad Safinia E1150004 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: Farhad Safinia | Statement: [Boss, executiveProducer, Farhad Safinia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Farhad Safinia
Context triple: [Boss, executiveProducer, Farhad Safinia]
  • A. Farhad Safinia chosen
    Farhad Safinia is an Iranian-American screenwriter, producer, and director best known for co-writing the historical epic film "Apocalypto" and creating the political drama series "Boss."
  • B. Ali Payami
    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.
  • C. Taghi Modarressi
    Taghi Modarressi was an Iranian-born psychiatrist and novelist known for his literary works in Persian and his marriage to American author Anne Tyler.
  • D. Farhad Massoudi
    Farhad Massoudi is an entrepreneur best known as the founder of Tubi, a popular ad-supported video streaming service.
  • E. Bijan Davari
    Bijan Davari is an Iranian-American electrical engineer and IBM researcher known for his pioneering contributions to high-performance CMOS technology and microprocessor design.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3f8eac81908489baeb4cb6bb53 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:17 a.m.