Triple

T4407991
Position Surface form Disambiguated ID Type / Status
Subject Wendy Wasserstein E93780 entity
Predicate name P16 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: [Wendy Wasserstein, name, Wendy Wasserstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wendy Wasserstein
Context triple: [Wendy Wasserstein, name, 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. Nell Benjamin
    Nell Benjamin is an American lyricist and composer best known for her work on Broadway musicals such as Legally Blonde and Mean Girls.
  • C. Doreen Alderman
    Doreen Alderman is an American former dancer and actress best known for her past marriage to actor Kelsey Grammer.
  • D. Theresa Rebeck
    Theresa Rebeck is an American playwright, television writer, and producer known for her work on stage and screen, including creating the musical drama series "Smash."
  • E. Beverly Gage
    Beverly Gage is an American historian and Yale professor known for her scholarship on 20th-century U.S. political history and her acclaimed biography of FBI director J. Edgar Hoover.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b3548cb92881908a3f98466da8e0a2 completed March 13, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f609f7f881909d12735f4028a108 completed March 14, 2026, 11:58 p.m.
Created at: March 12, 2026, 11:28 p.m.