Triple

T882512
Position Surface form Disambiguated ID Type / Status
Subject Nancy Goodman Brinker E19057 entity
Predicate birthName P65 FINISHED
Object Nancy Goodman
Nancy Goodman is an American diplomat, businesswoman, and philanthropist best known for founding the Susan G. Komen Breast Cancer Foundation.
E233235 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: Nancy Goodman | Statement: [Nancy Goodman Brinker, birthName, Nancy Goodman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nancy Goodman
Context triple: [Nancy Goodman Brinker, birthName, Nancy Goodman]
  • A. Nancy Gross
    Nancy Gross was the wife of renowned American film director Howard Hawks.
  • B. Gloria Katz
    Gloria Katz was an American screenwriter and producer best known for her collaborations with George Lucas, including work on films like "American Graffiti" and "Star Wars."
  • C. Barbara Robbins
    Barbara Robbins is known as the wife of Jon Lindbergh, the son of famed aviator Charles Lindbergh.
  • D. Judith Nelson
    Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
  • E. Roberta Seidman
    Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
  • 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: Nancy Goodman
Triple: [Nancy Goodman Brinker, birthName, Nancy Goodman]
Generated description
Nancy Goodman is an American diplomat, businesswoman, and philanthropist best known for founding the Susan G. Komen Breast Cancer Foundation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nancy Goodman
Target entity description: Nancy Goodman is an American diplomat, businesswoman, and philanthropist best known for founding the Susan G. Komen Breast Cancer Foundation.
  • A. Nancy Gross
    Nancy Gross was the wife of renowned American film director Howard Hawks.
  • B. Gloria Katz
    Gloria Katz was an American screenwriter and producer best known for her collaborations with George Lucas, including work on films like "American Graffiti" and "Star Wars."
  • C. Barbara Robbins
    Barbara Robbins is known as the wife of Jon Lindbergh, the son of famed aviator Charles Lindbergh.
  • D. Judith Nelson
    Judith Nelson was an American soprano known for her pioneering work and acclaimed performances in the early music and Baroque repertoire.
  • E. Roberta Seidman
    Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4accc863c8190be9e5350732c30b1 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae3032c1588190bae02f0e2152c6f1 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae30f6b7c4819080cb7cb7adc1f6d3 completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae31849d7c8190a4e3c90334bf21a5 completed March 9, 2026, 2:33 a.m.
Created at: March 1, 2026, 7:39 p.m.