Triple

T6107614
Position Surface form Disambiguated ID Type / Status
Subject Caleb Bradham E136153 entity
Predicate hasChild P369 FINISHED
Object Mary Bradham
Mary Bradham is known as the daughter of Caleb Bradham, the pharmacist and inventor of Pepsi-Cola.
E593024 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: Mary Bradham | Statement: [Caleb Bradham, hasChild, Mary Bradham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mary Bradham
Context triple: [Caleb Bradham, hasChild, Mary Bradham]
  • A. Louisa E. Masterson
    Louisa E. Masterson was a family member of famed Old West lawman and gambler Bat Masterson, known primarily through her relation to him.
  • B. Ethel Thayer
    Ethel Thayer is a warm, resilient elderly woman and devoted wife in the play and film "On Golden Pond," known for her nurturing presence and steadying influence on her family.
  • C. Ellen Maria Wade
    Ellen Maria Wade was the wife of U.S. Vice President Schuyler Colfax and a member of a prominent 19th-century American political family.
  • D. Emma Gillett
    Emma Gillett was an American lawyer and pioneering advocate for women's legal education who co-founded what became the Washington College of Law.
  • E. Blanche Sewell
    Blanche Sewell was an American film editor best known for her work on classic Hollywood productions, including the 1939 musical fantasy film "The Wizard of Oz."
  • 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: Mary Bradham
Triple: [Caleb Bradham, hasChild, Mary Bradham]
Generated description
Mary Bradham is known as the daughter of Caleb Bradham, the pharmacist and inventor of Pepsi-Cola.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mary Bradham
Target entity description: Mary Bradham is known as the daughter of Caleb Bradham, the pharmacist and inventor of Pepsi-Cola.
  • A. Louisa E. Masterson
    Louisa E. Masterson was a family member of famed Old West lawman and gambler Bat Masterson, known primarily through her relation to him.
  • B. Ethel Thayer
    Ethel Thayer is a warm, resilient elderly woman and devoted wife in the play and film "On Golden Pond," known for her nurturing presence and steadying influence on her family.
  • C. Ellen Maria Wade
    Ellen Maria Wade was the wife of U.S. Vice President Schuyler Colfax and a member of a prominent 19th-century American political family.
  • D. Emma Gillett
    Emma Gillett was an American lawyer and pioneering advocate for women's legal education who co-founded what became the Washington College of Law.
  • E. Blanche Sewell
    Blanche Sewell was an American film editor best known for her work on classic Hollywood productions, including the 1939 musical fantasy film "The Wizard of Oz."
  • 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_69c0087dee9881909e3655be88208c01 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05b81fad081909b622cafc6d51249 completed March 22, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640a09c60819087f3dad6d6ac6833 completed March 27, 2026, 8:32 a.m.
NEDg Description generation batch_69c6426e46bc8190b114dd4f26d31e60 completed March 27, 2026, 8:40 a.m.
NED2 Entity disambiguation (via description) batch_69c6431c55fc8190ab028fe93a7895ca completed March 27, 2026, 8:43 a.m.
Created at: March 22, 2026, 4:13 p.m.