Triple

T3785784
Position Surface form Disambiguated ID Type / Status
Subject Charles Spurgeon E85526 entity
Predicate middleName P143 FINISHED
Object Haddon
Haddon is the middle name of the famed 19th-century British Baptist preacher Charles Haddon Spurgeon, often called the "Prince of Preachers."
 E387919 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: Haddon | Statement: [Charles Spurgeon, middleName, Haddon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Haddon
Context triple: [Charles Spurgeon, middleName, Haddon]
  • A. Mottingham
    Mottingham is a suburban district in southeast London, England, known for its residential character and green spaces.
  • B. Homersfield
    Homersfield is a small village and civil parish on the River Waveney in eastern England, known for its historic bridge and rural Suffolk setting.
  • C. Harrodstown
    Harrodstown was the original pioneer settlement that later became Harrodsburg, recognized as one of the earliest permanent European-American communities in Kentucky.
  • D. Mouseton
    Mouseton is the fictional town that serves as the primary home and community setting for Mickey Mouse and many of his friends in Disney stories.
  • E. Halstead
    Halstead is a historic market town in the county of Essex in the East of England.
  • 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: Haddon
Triple: [Charles Spurgeon, middleName, Haddon]
Generated description
Haddon is the middle name of the famed 19th-century British Baptist preacher Charles Haddon Spurgeon, often called the "Prince of Preachers."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Haddon
Target entity description: Haddon is the middle name of the famed 19th-century British Baptist preacher Charles Haddon Spurgeon, often called the "Prince of Preachers."
  • A. Mottingham
    Mottingham is a suburban district in southeast London, England, known for its residential character and green spaces.
  • B. Homersfield
    Homersfield is a small village and civil parish on the River Waveney in eastern England, known for its historic bridge and rural Suffolk setting.
  • C. Harrodstown
    Harrodstown was the original pioneer settlement that later became Harrodsburg, recognized as one of the earliest permanent European-American communities in Kentucky.
  • D. Mouseton
    Mouseton is the fictional town that serves as the primary home and community setting for Mickey Mouse and many of his friends in Disney stories.
  • E. Halstead
    Halstead is a historic market town in the county of Essex in the East of England.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee42d2bc88190ab85529fcd1aa20a completed March 9, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f04a35448190a57f431ef703b1e1 completed March 14, 2026, 5:21 a.m.
NEDg Description generation batch_69b4f159d7e88190a76d51378ba141d3 completed March 14, 2026, 5:25 a.m.
NED2 Entity disambiguation (via description) batch_69b4f220f9388190b2c3615f713f01f2 completed March 14, 2026, 5:29 a.m.
Created at: March 9, 2026, 3:13 p.m.