Triple

T18007899
Position Surface form Disambiguated ID Type / Status
Subject Dalia E430802 entity
Predicate portrayedBy P1507 FINISHED
Object Nasim Pedrad 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: Nasim Pedrad | Statement: [Dalia, portrayedBy, Nasim Pedrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nasim Pedrad
Context triple: [Dalia, portrayedBy, Nasim Pedrad]
  • A. Nasim Pedrad chosen
    Nasim Pedrad is an Iranian-American actress, comedian, and writer best known for her work on "Saturday Night Live" and various film and television comedies.
  • B. Najwa Nimri
    Najwa Nimri is a Spanish actress and singer best known internationally for her roles in acclaimed series like "Money Heist" and "Vis a Vis."
  • C. Sarah Shahi
    Sarah Shahi is an American actress and former NFL cheerleader best known for her roles in television series such as "Person of Interest," "The L Word," and "Sex/Life."
  • D. Leila Hatami
    Leila Hatami is an acclaimed Iranian actress best known internationally for her award-winning role in the Oscar-winning film "A Separation."
  • E. Aydin Aghdashloo
    Aydin Aghdashloo is an Iranian painter, graphic artist, art critic, and writer known for his surreal, symbol-laden works and influential role in contemporary Iranian art.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b51d44088190bfcd35e532a4c02a completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.