Triple

T10469822
Position Surface form Disambiguated ID Type / Status
Subject The Ferryman E246893 entity
Predicate broadwayProducer P33162 FINISHED
Object Sonia Friedman E787161 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: Sonia Friedman | Statement: [The Ferryman, broadwayProducer, Sonia Friedman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sonia Friedman
Context triple: [The Ferryman, broadwayProducer, Sonia Friedman]
  • A. Sonia Friedman chosen
    Sonia Friedman is a prominent British theatre producer known for her award-winning work on major West End and Broadway productions.
  • B. Stephen Friedman
    Stephen Friedman is an American investment banker and former chairman of Goldman Sachs who later served as director of the National Economic Council and chairman of the President’s Foreign Intelligence Advisory Board.
  • C. Vanessa Branson
    Vanessa Branson is a British art dealer, curator, and hotelier, known for founding the Marrakech Biennale and for being the sister of entrepreneur Richard Branson.
  • D. Sonia Pottinger
    Sonia Pottinger was a pioneering Jamaican record producer and one of the most influential women in reggae and rocksteady music.
  • E. Laurie Tisch
    Laurie Tisch is an American philanthropist and arts patron known for her significant contributions to education, culture, and community initiatives in New York City.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5092fa6048190b26d481ddc3e3ec2 completed April 7, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69d89ffdfd988190a37b3444d096e678 completed April 10, 2026, 7 a.m.
Created at: April 6, 2026, 12:20 p.m.