Triple

T15631052
Position Surface form Disambiguated ID Type / Status
Subject Sex/Life E375811 entity
Predicate leadActor P1507 FINISHED
Object Sarah Shahi E77180 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: Sarah Shahi | Statement: [Sex/Life, leadActor, Sarah Shahi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarah Shahi
Context triple: [Sex/Life, leadActor, Sarah Shahi]
  • A. Sarah Shahi chosen
    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."
  • B. Soraya Nazarian
    Soraya Nazarian is an Iranian-born American sculptor and philanthropist known for her cultural and educational contributions, particularly within the Jewish and Israeli communities.
  • C. Nasim Pedrad
    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.
  • D. Nazanin Afshin-Jam
    Nazanin Afshin-Jam is an Iranian-Canadian human rights activist, former Miss World Canada, and co-founder of the organization Stop Child Executions.
  • E. Angourie Rice
    Angourie Rice is an Australian actress known for her breakout role in "The Nice Guys" and for appearing in films such as "Spider-Man: Homecoming" and "Spider-Man: Far From Home."
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb536348190b93ed3c178d1ffb8 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffa124e7d48190ac25e9541dea0122 completed May 9, 2026, 9:03 p.m.
Created at: April 10, 2026, 4:14 a.m.