Triple

T3953024
Position Surface form Disambiguated ID Type / Status
Subject David Brinkley E84909 entity
Predicate spouse P13 FINISHED
Object Ann Fischer
Ann Fischer was the wife of prominent American television newscaster David Brinkley.
E411771 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: Ann Fischer | Statement: [David Brinkley, spouse, Ann Fischer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ann Fischer
Context triple: [David Brinkley, spouse, Ann Fischer]
  • A. Anna Steiger
    Anna Steiger is a British operatic mezzo-soprano known for her performances with major European opera companies and for being the daughter of actress Claire Bloom and actor Rod Steiger.
  • B. Anne Schaefer
    Anne Schaefer was an American silent film actress active in the early 20th century, appearing in numerous productions during the 1910s and 1920s.
  • C. Maeby Fünke
    Maeby Fünke is a sarcastic, rebellious teenage member of the dysfunctional Bluth family in the television sitcom "Arrested Development."
  • D. Susan Anspach
    Susan Anspach was an American actress best known for her roles in influential 1970s films such as "Five Easy Pieces" and "Blume in Love," where she often portrayed complex, independent women.
  • E. Amy Landecker
    Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
  • 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: Ann Fischer
Triple: [David Brinkley, spouse, Ann Fischer]
Generated description
Ann Fischer was the wife of prominent American television newscaster David Brinkley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ann Fischer
Target entity description: Ann Fischer was the wife of prominent American television newscaster David Brinkley.
  • A. Anna Steiger
    Anna Steiger is a British operatic mezzo-soprano known for her performances with major European opera companies and for being the daughter of actress Claire Bloom and actor Rod Steiger.
  • B. Anne Schaefer
    Anne Schaefer was an American silent film actress active in the early 20th century, appearing in numerous productions during the 1910s and 1920s.
  • C. Maeby Fünke
    Maeby Fünke is a sarcastic, rebellious teenage member of the dysfunctional Bluth family in the television sitcom "Arrested Development."
  • D. Susan Anspach
    Susan Anspach was an American actress best known for her roles in influential 1970s films such as "Five Easy Pieces" and "Blume in Love," where she often portrayed complex, independent women.
  • E. Amy Landecker
    Amy Landecker is an American actress best known for her role as Sarah Pfefferman on the television series "Transparent."
  • 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_69aed934fbfc8190847068e4546de963 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef939d1308190930dc2c8272eafa4 completed March 9, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56287a58481908874f93ca7889d28 completed March 14, 2026, 1:28 p.m.
NEDg Description generation batch_69b563b3db0481909f3dd2a9e6a88e6e completed March 14, 2026, 1:33 p.m.
NED2 Entity disambiguation (via description) batch_69b567e223cc8190aa1d7e827e6c70fd completed March 14, 2026, 1:51 p.m.
Created at: March 9, 2026, 3:30 p.m.