Triple

T18337357
Position Surface form Disambiguated ID Type / Status
Subject Into the West E439306 entity
Predicate writer P1360 FINISHED
Object Cyrus Nowrasteh NE NERFINISHED

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: Cyrus Nowrasteh | Statement: [Into the West, writer, Cyrus Nowrasteh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cyrus Nowrasteh
Context triple: [Into the West, writer, Cyrus Nowrasteh]
  • A. Cyrus Nowrasteh chosen
    Cyrus Nowrasteh is an Iranian-American screenwriter, director, and producer known for politically charged films and television projects such as "The Stoning of Soraya M." and "The Path to 9/11."
  • B. Shervin Alenabi
    Shervin Alenabi is an actor best known for his role in the espionage thriller television series "Tehran."
  • C. Babak Anvari
    Babak Anvari is a British-Iranian filmmaker known for directing atmospheric psychological thrillers and horror films such as "Under the Shadow" and "I Came By."
  • D. Hossein Valamanesh
    Hossein Valamanesh was an Iranian-born Australian artist renowned for his poetic, minimalist installations that often explored themes of migration, memory, and cultural identity.
  • E. Nader Faghihzadeh
    Nader Faghihzadeh is an automotive designer best known for his work on BMW roadster models, including the BMW Z4 (E89).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ece387881909a5da0aa4370489c completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:37 a.m.