Triple

T3799091
Position Surface form Disambiguated ID Type / Status
Subject John Austin E91643 entity
Predicate spouse P13 FINISHED
Object Sarah Austin
Sarah Austin was a 19th-century English translator and writer known for her influential translations of German works and her role in Victorian intellectual circles.
 E402600 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: Sarah Austin | Statement: [John Austin, spouse, Sarah Austin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sarah Austin
Context triple: [John Austin, spouse, Sarah Austin]
  • A. Sarah Austin
    Sarah Austin was the wife of American Revolutionary War naval hero Commodore John Barry.
  • B. Sarah Austin
    Sarah Austin is the wife of John Barry, known primarily in relation to her marriage to the acclaimed film composer.
  • C. Regina Austin
    Regina Austin is an American legal scholar known for her work on critical race theory, feminist legal theory, and the intersection of law with issues of race, gender, and social justice.
  • D. Emily Woodruff
    Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
  • E. Rebecca Calhoun
    Rebecca Calhoun was the wife of American Revolutionary War general and South Carolina politician Andrew Pickens.
  • 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: Sarah Austin
Triple: [John Austin, spouse, Sarah Austin]
Generated description
Sarah Austin was a 19th-century English translator and writer known for her influential translations of German works and her role in Victorian intellectual circles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sarah Austin
Target entity description: Sarah Austin was a 19th-century English translator and writer known for her influential translations of German works and her role in Victorian intellectual circles.
  • A. Sarah Austin
    Sarah Austin is the wife of John Barry, known primarily in relation to her marriage to the acclaimed film composer.
  • B. Sarah Austin
    Sarah Austin was the wife of American Revolutionary War naval hero Commodore John Barry.
  • C. Regina Austin
    Regina Austin is an American legal scholar known for her work on critical race theory, feminist legal theory, and the intersection of law with issues of race, gender, and social justice.
  • D. Emily Woodruff
    Emily Woodruff was the wife of Canadian-American actor Hume Cronyn and is primarily known for her connection to his life and career.
  • E. Rebecca Calhoun
    Rebecca Calhoun was the wife of American Revolutionary War general and South Carolina politician Andrew Pickens.
  • 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7a43c408190a54cff649f63e69f completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5336b8d308190a1886ab637173b35 completed March 14, 2026, 10:07 a.m.
NEDg Description generation batch_69b5375349c08190b10b87f4a9ea635e completed March 14, 2026, 10:24 a.m.
NED2 Entity disambiguation (via description) batch_69b53807aa8c8190b9fa967ca9c0956c completed March 14, 2026, 10:27 a.m.
Created at: March 9, 2026, 3:15 p.m.