Triple

T18173247
Position Surface form Disambiguated ID Type / Status
Subject Ben-Hur (2016 film) E435084 entity
Predicate stars P1956 FINISHED
Object Nazanin Boniadi 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: Nazanin Boniadi | Statement: [Ben-Hur (2016 film), stars, Nazanin Boniadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nazanin Boniadi
Context triple: [Ben-Hur (2016 film), stars, Nazanin Boniadi]
  • A. Nazanin Boniadi chosen
    Nazanin Boniadi is an Iranian-British actress and human rights activist known for her roles in film and television, including prominent work in political thrillers and dramas.
  • B. Nazanin Mandi
    Nazanin Mandi is an American model, actress, and singer known for her work in fashion campaigns, television appearances, and music projects.
  • C. Zahra Kazemi
    Zahra Kazemi was an Iranian-Canadian photojournalist whose death in Iranian custody in 2003 drew international condemnation and became a symbol of press repression and human rights abuses in Iran.
  • D. Soraya Taheri
    Soraya Taheri is a key character in Khaled Hosseini’s novel "The Kite Runner," known as Amir’s supportive and resilient wife who helps him confront his past.
  • E. Shahrzad Davani
    Shahrzad Davani is a film producer best known for her work on the biographical drama "Brain on Fire."
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df583a8081908c07d3534091c2ae completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.