Triple

T8215686
Position Surface form Disambiguated ID Type / Status
Subject Rowland Hill E191924 entity
Predicate spouse P13 FINISHED
Object Caroline Pearson
Caroline Pearson was the wife of English postal reformer Rowland Hill, known primarily through her association with his pioneering work on the modern postal system.
 E741398 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: Caroline Pearson | Statement: [Rowland Hill, spouse, Caroline Pearson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Caroline Pearson
Context triple: [Rowland Hill, spouse, Caroline Pearson]
  • A. Caroline Graham
    Caroline Graham is a British crime novelist best known for creating the Chief Inspector Barnaby books that inspired the television series "Midsomer Murders."
  • B. Caroline Fry
    Caroline Fry was a 19th-century English Christian writer and moralist known for her religious essays and devotional works.
  • C. Caroline Black
    Caroline Black is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Black.
  • D. Caroline Ross
    Caroline Ross is a film editor known for her work on the science fiction movie "Starship Troopers."
  • E. Caroline Thompson
    Caroline Thompson is an American screenwriter and director best known for her work on darkly whimsical films such as Edward Scissorhands, The Nightmare Before Christmas, and Corpse Bride.
  • 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: Caroline Pearson
Triple: [Rowland Hill, spouse, Caroline Pearson]
Generated description
Caroline Pearson was the wife of English postal reformer Rowland Hill, known primarily through her association with his pioneering work on the modern postal system.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Caroline Pearson
Target entity description: Caroline Pearson was the wife of English postal reformer Rowland Hill, known primarily through her association with his pioneering work on the modern postal system.
  • A. Caroline Graham
    Caroline Graham is a British crime novelist best known for creating the Chief Inspector Barnaby books that inspired the television series "Midsomer Murders."
  • B. Caroline Fry
    Caroline Fry was a 19th-century English Christian writer and moralist known for her religious essays and devotional works.
  • C. Caroline Black
    Caroline Black is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Black.
  • D. Caroline Ross
    Caroline Ross is a film editor known for her work on the science fiction movie "Starship Troopers."
  • E. Caroline Thompson
    Caroline Thompson is an American screenwriter and director best known for her work on darkly whimsical films such as Edward Scissorhands, The Nightmare Before Christmas, and Corpse Bride.
  • 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb776dcfa08190969863b886336c91 completed March 31, 2026, 7:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce6cb7c80c81909d3d56c05a23f5c7 completed April 2, 2026, 1:18 p.m.
NEDg Description generation batch_69ce6f3f40708190a351600ec9f12ee4 completed April 2, 2026, 1:29 p.m.
NED2 Entity disambiguation (via description) batch_69ce703b74f8819093bda2d3e59f7e94 completed April 2, 2026, 1:33 p.m.
Created at: March 30, 2026, 5:44 p.m.