Triple

T21301657
Position Surface form Disambiguated ID Type / Status
Subject Behrouz Vossoughi E525078 entity
Predicate hasWorkedWith P9615 FINISHED
Object Amir Naderi 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: Amir Naderi | Statement: [Behrouz Vossoughi, hasWorkedWith, Amir Naderi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amir Naderi
Context triple: [Behrouz Vossoughi, hasWorkedWith, Amir Naderi]
  • A. Amir Naderi chosen
    Amir Naderi is an acclaimed Iranian filmmaker and screenwriter known for influential works in Iranian New Wave cinema and later international films.
  • B. Amir Esmailian
    Amir Esmailian is a Canadian music executive and talent manager best known for co-founding XO and helping develop the career of The Weeknd.
  • C. Hossein Amini
    Hossein Amini is an Iranian-British screenwriter and director known for his work on films such as "Drive," "The Wings of the Dove," and various literary adaptations.
  • D. Reza Khandan
    Reza Khandan is an Iranian civil rights activist known for his outspoken support of his imprisoned human-rights-lawyer wife, Nasrin Sotoudeh, and his own advocacy against political repression in Iran.
  • E. Behzad Farahani
    Behzad Farahani is an Iranian actor and playwright known for his significant contributions to Iranian theater and cinema.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7385cd6308190bf300494833b048f completed April 21, 2026, 8:42 a.m.
Created at: April 16, 2026, 4:05 p.m.