Triple

T17498325
Position Surface form Disambiguated ID Type / Status
Subject Biddy Mason E426126 entity
Predicate child P120 FINISHED
Object Ellen Mason
Ellen Mason was a daughter of Biddy Mason, the formerly enslaved African American woman who became a prominent nurse, landowner, and philanthropist in Los Angeles.
E1288880 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: Ellen Mason | Statement: [Biddy Mason, child, Ellen Mason]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellen Mason
Context triple: [Biddy Mason, child, Ellen Mason]
  • A. Ellen Benson
    Ellen Benson is the protagonist of the work titled "Suddenly."
  • B. Ellen Mitchell
    Ellen Mitchell is a fictional First Lady of the United States in the 1993 political comedy film "Dave," central to the story’s romantic and political plot.
  • C. Elaine Mason
    Elaine Mason was a British nurse who became the second wife of theoretical physicist Stephen Hawking.
  • D. Ellen Drew
    Ellen Drew was an American film actress prominent in the late 1930s and 1940s, known for her roles in Hollywood dramas, comedies, and film noirs.
  • E. Ellen Walsh
    Ellen Walsh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
  • 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: Ellen Mason
Triple: [Biddy Mason, child, Ellen Mason]
Generated description
Ellen Mason was a daughter of Biddy Mason, the formerly enslaved African American woman who became a prominent nurse, landowner, and philanthropist in Los Angeles.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ellen Mason
Target entity description: Ellen Mason was a daughter of Biddy Mason, the formerly enslaved African American woman who became a prominent nurse, landowner, and philanthropist in Los Angeles.
  • A. Ellen Benson
    Ellen Benson is the protagonist of the work titled "Suddenly."
  • B. Ellen Mitchell
    Ellen Mitchell is a fictional First Lady of the United States in the 1993 political comedy film "Dave," central to the story’s romantic and political plot.
  • C. Elaine Mason
    Elaine Mason was a British nurse who became the second wife of theoretical physicist Stephen Hawking.
  • D. Ellen Drew
    Ellen Drew was an American film actress prominent in the late 1930s and 1940s, known for her roles in Hollywood dramas, comedies, and film noirs.
  • E. Ellen Walsh
    Ellen Walsh is a personal name shared by multiple individuals, including professionals and public figures in various fields.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4521028048190aa7c4023a72a12f4 completed April 19, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff48dc808190aa571c2573e0a921 completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a02fffa54ac8190a3bf90c827e56329 completed May 12, 2026, 10:24 a.m.
NED2 Entity disambiguation (via description) batch_6a03009e9ff48190a0762d4d537f4cc7 completed May 12, 2026, 10:27 a.m.
Created at: April 10, 2026, 5:48 a.m.