Triple

T9109271
Position Surface form Disambiguated ID Type / Status
Subject John Brown E218553 entity
Predicate spouse P13 FINISHED
Object Mary Ann Day
Mary Ann Day was the second wife of American abolitionist John Brown and the mother of several of his children, who supported his family during his militant anti-slavery activities.
 E778757 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 Ann Day | Statement: [John Brown, spouse, Mary Ann Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mary Ann Day
Context triple: [John Brown, spouse, Mary Ann Day]
  • A. Mary Ann Pearce
    Mary Ann Pearce is known as the wife of American crime novelist Mickey Spillane.
  • B. Mary Anne Grindall
    Mary Anne Grindall was the wife of British civil servant, political reformer, and ornithologist Allan Octavian Hume.
  • C. Mary Ellen
    Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
  • D. Mary Ann Bertles
    Mary Ann Bertles was the wife of U.S. Supreme Court Justice Potter Stewart.
  • E. Mary Ann Bernard
    Mary Ann Bernard is a film editor best known for her work on the biographical drama "Behind the Candelabra."
  • 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 Ann Day
Triple: [John Brown, spouse, Mary Ann Day]
Generated description
Mary Ann Day was the second wife of American abolitionist John Brown and the mother of several of his children, who supported his family during his militant anti-slavery activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mary Ann Day
Target entity description: Mary Ann Day was the second wife of American abolitionist John Brown and the mother of several of his children, who supported his family during his militant anti-slavery activities.
  • A. Mary Ann Pearce
    Mary Ann Pearce is known as the wife of American crime novelist Mickey Spillane.
  • B. Mary Anne Grindall
    Mary Anne Grindall was the wife of British civil servant, political reformer, and ornithologist Allan Octavian Hume.
  • C. Mary Ellen
    Mary Ellen is a feminine given name of English origin, often used as a compound of "Mary" and "Ellen."
  • D. Mary Ann Bertles
    Mary Ann Bertles was the wife of U.S. Supreme Court Justice Potter Stewart.
  • E. Mary Ann Bernard
    Mary Ann Bernard is a film editor best known for her work on the biographical drama "Behind the Candelabra."
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca845d9b0819084230e7cdd92dee0 completed April 1, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d03038dba48190991cb76576349bc3 completed April 3, 2026, 9:25 p.m.
NEDg Description generation batch_69d031a55a88819090cea52b192e9f55 completed April 3, 2026, 9:31 p.m.
NED2 Entity disambiguation (via description) batch_69d03252748c8190bd362f205a6fc20a completed April 3, 2026, 9:34 p.m.
Created at: March 30, 2026, 7:16 p.m.