Triple

T6763253
Position Surface form Disambiguated ID Type / Status
Subject Fay Bainter E154647 entity
Predicate spouse P13 FINISHED
Object Reginald Venable
Reginald Venable was the husband of American stage and film actress Fay Bainter.
 E618034 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: Reginald Venable | Statement: [Fay Bainter, spouse, Reginald Venable]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Reginald Venable
Context triple: [Fay Bainter, spouse, Reginald Venable]
  • A. Reginald Wade
    Reginald Wade is a British civil engineer and military officer known for his role in building military roads in the Scottish Highlands in the early 18th century.
  • B. Reginald
    Reginald is a masculine given name of English origin that has been borne by various notable figures, including military officers, politicians, and artists.
  • C. Robert Livermore
    Robert Livermore was a 19th-century Californian rancher and early settler whose name was later given to the city of Livermore, California.
  • D. Roderick Kinney
    Roderick Kinney is an individual notable enough to be specifically identified as a bearer of the Kinney surname.
  • E. Victor Perkins
    Victor Perkins, better known as Vector, is the nerdy, orange-clad supervillain and rival to Gru in the animated film "Despicable Me."
  • 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: Reginald Venable
Triple: [Fay Bainter, spouse, Reginald Venable]
Generated description
Reginald Venable was the husband of American stage and film actress Fay Bainter.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Reginald Venable
Target entity description: Reginald Venable was the husband of American stage and film actress Fay Bainter.
  • A. Reginald Wade
    Reginald Wade is a British civil engineer and military officer known for his role in building military roads in the Scottish Highlands in the early 18th century.
  • B. Reginald
    Reginald is a masculine given name of English origin that has been borne by various notable figures, including military officers, politicians, and artists.
  • C. Robert Livermore
    Robert Livermore was a 19th-century Californian rancher and early settler whose name was later given to the city of Livermore, California.
  • D. Roderick Kinney
    Roderick Kinney is an individual notable enough to be specifically identified as a bearer of the Kinney surname.
  • E. Victor Perkins
    Victor Perkins, better known as Vector, is the nerdy, orange-clad supervillain and rival to Gru in the animated film "Despicable Me."
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2160a2c8190837c608a3509c62c completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c712b6ec408190bd9131f289b02ba7 completed March 27, 2026, 11:28 p.m.
NEDg Description generation batch_69c713b3accc81908d19c1b00e2c312c completed March 27, 2026, 11:33 p.m.
NED2 Entity disambiguation (via description) batch_69c7146413748190b844d9422dce42c2 completed March 27, 2026, 11:36 p.m.
Created at: March 27, 2026, 2:12 p.m.