Triple

T9762886
Position Surface form Disambiguated ID Type / Status
Subject Counterpart E236710 entity
Predicate starring P1507 FINISHED
Object Nazanin Boniadi E268703 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: Nazanin Boniadi | Statement: [Counterpart, starring, Nazanin Boniadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nazanin Boniadi
Context triple: [Counterpart, starring, 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. 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.
  • C. Zahra Rahnavard
    Zahra Rahnavard is an Iranian academic, artist, and political activist known for her prominent role in the Iranian reform movement and as a leading female figure in the 2009 Green Movement.
  • D. Hedieh Tehrani
    Hedieh Tehrani is a prominent Iranian film actress acclaimed for her intense, nuanced performances in contemporary Iranian cinema.
  • E. Sarah Solemani
    Sarah Solemani is a British actress and writer known for her roles in television comedies like "Him & Her" and "Bad Education" as well as various film and stage performances.
  • 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_69ca84d64f6c8190a4ed4e9f5936eda5 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda09d8bc88190808145f141b4a9f8 completed April 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcec777c81908b2eff64f4756517 completed April 5, 2026, 1:37 a.m.
Created at: March 30, 2026, 8:25 p.m.