Triple

T11934809
Position Surface form Disambiguated ID Type / Status
Subject Playwrights Workshop E284010 entity
Predicate hasNotableAlumni P51 FINISHED
Object Wendy Wasserstein E93780 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: Wendy Wasserstein | Statement: [Playwrights Workshop, hasNotableAlumni, Wendy Wasserstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wendy Wasserstein
Context triple: [Playwrights Workshop, hasNotableAlumni, Wendy Wasserstein]
  • A. Wendy Wasserstein chosen
    Wendy Wasserstein was a Pulitzer Prize–winning American playwright known for her witty, feminist explorations of contemporary women's lives in works such as "The Heidi Chronicles."
  • B. Alix Kates Shulman
    Alix Kates Shulman is an American feminist writer and activist best known for her novel "Memoirs of an Ex-Prom Queen" and her contributions to second-wave feminism.
  • C. Delia Ephron
    Delia Ephron is an American screenwriter, novelist, and playwright known for her collaborations with her sister Nora Ephron on popular films such as "You've Got Mail."
  • D. Jodi Wexler
    Jodi Wexler is an actress best known for her role in the film "The Love Machine."
  • E. Eleanor Bergstein
    Eleanor Bergstein is an American writer and filmmaker best known for creating and writing the hit 1987 romantic drama film "Dirty Dancing."
  • 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_69d6ab2ce9c48190b5d39511b524f666 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d90306fcf48190a963d2d1932288d1 completed April 10, 2026, 2:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f458b9a35c8190875cb5ac7c9bcfba completed May 1, 2026, 7:39 a.m.
Created at: April 8, 2026, 9:45 p.m.