Triple

T4637161
Position Surface form Disambiguated ID Type / Status
Subject Wilella Cather E101560 entity
Predicate givenName P17 FINISHED
Object Wilella
Wilella is the given first name of the American novelist Willa Cather, known for her classic works about frontier life on the Great Plains.
E101560 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: Wilella | Statement: [Wilella Cather, givenName, Wilella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilella
Context triple: [Wilella Cather, givenName, Wilella]
  • A. Wilella
    Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
  • B. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • C. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • D. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • E. Verna
    Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
  • 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: Wilella
Triple: [Wilella Cather, givenName, Wilella]
Generated description
Wilella is the given first name of the American novelist Willa Cather, known for her classic works about frontier life on the Great Plains.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wilella
Target entity description: Wilella is the given first name of the American novelist Willa Cather, known for her classic works about frontier life on the Great Plains.
  • A. Wilella chosen
    Wilella is the full given name of American novelist Willa Cather, renowned for her works depicting frontier life on the Great Plains.
  • B. Sheilia
    Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
  • C. Marzelline
    Marzelline is a character in Beethoven's opera "Fidelio," portrayed as the jailer Rocco’s daughter who becomes romantically entangled with the disguised heroine.
  • D. Lela
    Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
  • E. Verna
    Verna is a feminine given name that gained particular recognition through film editor Verna Fields, known for her work on movies like "Jaws."
  • F. None of above.

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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a62a9e48190b0cf1cbcc51f00c0 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfacba5fc8190bc86157ee5719ced completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfed8a8b48190bcb98e2ff1886b65 completed March 21, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69bdff9ff3748190af5e5a6d91976abc completed March 21, 2026, 2:17 a.m.
Created at: March 20, 2026, 1:13 p.m.