Triple

T4407993
Position Surface form Disambiguated ID Type / Status
Subject Wendy Wasserstein E93780 entity
Predicate familyName P18 FINISHED
Object Wasserstein
Wasserstein is a surname most prominently associated with the Pulitzer Prize–winning American playwright Wendy Wasserstein.
 E437966 NE FINISHED

How this triple was built (4 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: Wasserstein | Statement: [Wendy Wasserstein, familyName, Wasserstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wasserstein
Context triple: [Wendy Wasserstein, familyName, Wasserstein]
  • A. Weil
    Weil is a surname most notably associated with André Weil, a prominent 20th-century French mathematician and co-founder of the Bourbaki group.
  • B. Weil
    Weil is a small river in the German state of Hesse that flows through the Taunus region before joining the Lahn.
  • C. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • D. Tournier
    Tournier is a surname of French origin, sometimes used as a variant of the English surname Turner.
  • E. Wirtinger
    Wirtinger is a surname most notably associated with Austrian mathematician Wilhelm Wirtinger, known for his contributions to complex analysis and knot theory.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wasserstein
Triple: [Wendy Wasserstein, familyName, Wasserstein]
Generated description
Wasserstein is a surname most prominently associated with the Pulitzer Prize–winning American playwright Wendy Wasserstein.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wasserstein
Target entity description: Wasserstein is a surname most prominently associated with the Pulitzer Prize–winning American playwright Wendy Wasserstein.
  • A. Weil
    Weil is a surname most notably associated with André Weil, a prominent 20th-century French mathematician and co-founder of the Bourbaki group.
  • B. Weil
    Weil is a small river in the German state of Hesse that flows through the Taunus region before joining the Lahn.
  • C. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • D. Tournier
    Tournier is a surname of French origin, sometimes used as a variant of the English surname Turner.
  • E. Wirtinger
    Wirtinger is a surname most notably associated with Austrian mathematician Wilhelm Wirtinger, known for his contributions to complex analysis and knot theory.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69b5f689da008190ae5bd42af1f95bfa completed March 15, 2026, midnight
NED2 Entity disambiguation (via description) batch_69b5f72f5dac819081f98d835c467aca completed March 15, 2026, 12:02 a.m.
Created at: March 12, 2026, 11:28 p.m.