Triple

T3311587
Position Surface form Disambiguated ID Type / Status
Subject Samuel Wilberforce E69584 entity
Predicate spouse P13 FINISHED
Object Emily Sargent
Emily Sargent was the wife of 19th-century Anglican bishop and prominent public figure Samuel Wilberforce.
E408671 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: Emily Sargent | Statement: [Samuel Wilberforce, spouse, Emily Sargent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emily Sargent
Context triple: [Samuel Wilberforce, spouse, Emily Sargent]
  • A. Emily Sargent
    Emily Sargent was a British artist and watercolorist, best known for her landscapes and for being part of the culturally prominent Sargent family.
  • B. Elizabeth Nourse
    Elizabeth Nourse was an American realist painter known for her sensitive depictions of women and rural life, who built a successful career in Paris in the late 19th and early 20th centuries.
  • C. Eileen Sanger
    Eileen Sanger is known as the spouse of Larry Sanger, the co-founder of Wikipedia.
  • D. Mary Campbell
    Mary Campbell is a central character in the satirical television sitcom "Soap," known for her role in the show's parody of daytime soap opera tropes.
  • E. Sarah Sutherland
    Sarah Sutherland is an American actress best known for her role as Catherine Meyer on the HBO political satire series "Veep."
  • 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: Emily Sargent
Triple: [Samuel Wilberforce, spouse, Emily Sargent]
Generated description
Emily Sargent was the wife of 19th-century Anglican bishop and prominent public figure Samuel Wilberforce.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Emily Sargent
Target entity description: Emily Sargent was the wife of 19th-century Anglican bishop and prominent public figure Samuel Wilberforce.
  • A. Emily Sargent
    Emily Sargent was a British artist and watercolorist, best known for her landscapes and for being part of the culturally prominent Sargent family.
  • B. Elizabeth Nourse
    Elizabeth Nourse was an American realist painter known for her sensitive depictions of women and rural life, who built a successful career in Paris in the late 19th and early 20th centuries.
  • C. Eileen Sanger
    Eileen Sanger is known as the spouse of Larry Sanger, the co-founder of Wikipedia.
  • D. Mary Campbell
    Mary Campbell is a central character in the satirical television sitcom "Soap," known for her role in the show's parody of daytime soap opera tropes.
  • E. Sarah Sutherland
    Sarah Sutherland is an American actress best known for her role as Catherine Meyer on the HBO political satire series "Veep."
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0ec80508190baa78435b983b7b5 completed March 8, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5560426908190bd9620900e370634 completed March 14, 2026, 12:35 p.m.
NEDg Description generation batch_69b559c8910c8190a1a14a91577f9341 completed March 14, 2026, 12:51 p.m.
NED2 Entity disambiguation (via description) batch_69b55a2aa35881908a109956f81cfc3e completed March 14, 2026, 12:52 p.m.
Created at: March 8, 2026, 3:11 p.m.