Triple

T6309510
Position Surface form Disambiguated ID Type / Status
Subject David Gottfried E141463 entity
Predicate spouse P13 FINISHED
Object Sara Gottfried
Sara Gottfried is an American physician and author known for her work on women's hormonal health, integrative medicine, and bestselling wellness books.
E584348 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: Sara Gottfried | Statement: [David Gottfried, spouse, Sara Gottfried]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sara Gottfried
Context triple: [David Gottfried, spouse, Sara Gottfried]
  • A. Kimberly Shlain
    Kimberly Shlain is the wife of American actor, comedian, and filmmaker Albert Brooks.
  • B. Lorraine Gottfried
    Lorraine Gottfried is the birth name of American actress Lorraine Gary, best known for her role as Ellen Brody in the "Jaws" film series.
  • C. Caroline Livermore
    Caroline Livermore was a conservationist and civic leader known for her pivotal role in preserving natural landscapes in the San Francisco Bay Area.
  • D. Sara Hess
    Sara Hess is an American television writer and producer known for her work on acclaimed series such as House of the Dragon and Orange Is the New Black.
  • E. Melissa Rosenberg
    Melissa Rosenberg is an American screenwriter and producer best known for adapting the Twilight Saga films and creating the Marvel television series Jessica Jones.
  • 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: Sara Gottfried
Triple: [David Gottfried, spouse, Sara Gottfried]
Generated description
Sara Gottfried is an American physician and author known for her work on women's hormonal health, integrative medicine, and bestselling wellness books.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sara Gottfried
Target entity description: Sara Gottfried is an American physician and author known for her work on women's hormonal health, integrative medicine, and bestselling wellness books.
  • A. Kimberly Shlain
    Kimberly Shlain is the wife of American actor, comedian, and filmmaker Albert Brooks.
  • B. Lorraine Gottfried
    Lorraine Gottfried is the birth name of American actress Lorraine Gary, best known for her role as Ellen Brody in the "Jaws" film series.
  • C. Caroline Livermore
    Caroline Livermore was a conservationist and civic leader known for her pivotal role in preserving natural landscapes in the San Francisco Bay Area.
  • D. Sara Hess
    Sara Hess is an American television writer and producer known for her work on acclaimed series such as House of the Dragon and Orange Is the New Black.
  • E. Melissa Rosenberg
    Melissa Rosenberg is an American screenwriter and producer best known for adapting the Twilight Saga films and creating the Marvel television series Jessica Jones.
  • 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_69c008d00efc8190a36c05b4b4a3bf4b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0647f13a4819095c4ce8c42c5d1fb completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e45a924081909a1190ce2987b16d completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5e83baa8c819083ac5d8ed402f8b9 completed March 27, 2026, 2:15 a.m.
NED2 Entity disambiguation (via description) batch_69c5e8cf4f7881908ede524ba24c1c9a completed March 27, 2026, 2:17 a.m.
Created at: March 22, 2026, 4:28 p.m.