Triple

T8891267
Position Surface form Disambiguated ID Type / Status
Subject Crocker E211680 entity
Predicate hasNotableBearer P458 FINISHED
Object Barbara Crocker
Barbara Crocker was a British artist, illustrator, and writer known for her landscape paintings and travel books.
 E768169 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: Barbara Crocker | Statement: [Crocker, hasNotableBearer, Barbara Crocker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barbara Crocker
Context triple: [Crocker, hasNotableBearer, Barbara Crocker]
  • A. Betty Crocker
    Betty Crocker is a fictional brand character created by General Mills, widely recognized as a symbol of home baking and packaged food products in the United States.
  • B. Fannie Farmer
    Fannie Farmer was an influential American cook and author whose 1896 "Boston Cooking-School Cook Book" helped standardize modern recipe measurements and home cooking practices.
  • C. Helen Burger
    Helen Burger was the wife of famed American bandleader Glenn Miller and the mother of their two children.
  • D. Marion Cunningham
    Marion Cunningham is the warm, sensible matriarch of the Cunningham family on the classic American sitcom "Happy Days."
  • E. Mary Cox
    Mary Cox is a central character in the British television drama "Our Friends in the North," whose life and relationships reflect the social and political changes in late 20th-century Britain.
  • 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: Barbara Crocker
Triple: [Crocker, hasNotableBearer, Barbara Crocker]
Generated description
Barbara Crocker was a British artist, illustrator, and writer known for her landscape paintings and travel books.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barbara Crocker
Target entity description: Barbara Crocker was a British artist, illustrator, and writer known for her landscape paintings and travel books.
  • A. Betty Crocker
    Betty Crocker is a fictional brand character created by General Mills, widely recognized as a symbol of home baking and packaged food products in the United States.
  • B. Fannie Farmer
    Fannie Farmer was an influential American cook and author whose 1896 "Boston Cooking-School Cook Book" helped standardize modern recipe measurements and home cooking practices.
  • C. Helen Burger
    Helen Burger was the wife of famed American bandleader Glenn Miller and the mother of their two children.
  • D. Marion Cunningham
    Marion Cunningham is the warm, sensible matriarch of the Cunningham family on the classic American sitcom "Happy Days."
  • E. Mary Cox
    Mary Cox is a central character in the British television drama "Our Friends in the North," whose life and relationships reflect the social and political changes in late 20th-century Britain.
  • 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_69ca83907954819096d52a245b635841 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61ba33c48190a657fc4147a326c0 completed April 1, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1c9433c81908621e1a2ba8b7bed completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc411290c81909ff6ed952f4a0f1a completed April 3, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_69cfc46a8258819098edbcbd5d8d825a completed April 3, 2026, 1:45 p.m.
Created at: March 30, 2026, 6:54 p.m.