Triple

T12755903
Position Surface form Disambiguated ID Type / Status
Subject Maria Bowen Chapin E304858 entity
Predicate familyName P18 FINISHED
Object Chapin
Chapin is a surname of English origin borne by various notable individuals across fields such as politics, the arts, and academia.
 E1000229 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: Chapin | Statement: [Maria Bowen Chapin, familyName, Chapin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chapin
Context triple: [Maria Bowen Chapin, familyName, Chapin]
  • A. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • B. Bubley
    Bubley is the surname of Esther Bubley, an influential American photographer known for her documentary work in the mid-20th century.
  • C. Horton
    Horton is a small village and civil parish in the Royal Borough of Windsor and Maidenhead in Berkshire, England.
  • D. Horton
    Horton is a locality within the Borough of Epsom and Ewell in Surrey, England, known historically for its former psychiatric hospitals and surrounding green spaces.
  • E. Horton
    Horton is a small village and former civil parish in West Northamptonshire, England, known for its rural character and historic parish church.
  • 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: Chapin
Triple: [Maria Bowen Chapin, familyName, Chapin]
Generated description
Chapin is a surname of English origin borne by various notable individuals across fields such as politics, the arts, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chapin
Target entity description: Chapin is a surname of English origin borne by various notable individuals across fields such as politics, the arts, and academia.
  • A. Milhous
    Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
  • B. Bubley
    Bubley is the surname of Esther Bubley, an influential American photographer known for her documentary work in the mid-20th century.
  • C. Horton
    Horton is a small village and civil parish in the Royal Borough of Windsor and Maidenhead in Berkshire, England.
  • D. Horton
    Horton is a locality within the Borough of Epsom and Ewell in Surrey, England, known historically for its former psychiatric hospitals and surrounding green spaces.
  • E. Horton
    Horton is a small village and former civil parish in West Northamptonshire, England, known for its rural character and historic parish church.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96d8b57b88190b29b8fdca415c81c completed April 10, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c9aa6308190bfcb1511a561c0f9 completed May 2, 2026, 10:37 p.m.
NEDg Description generation batch_69f67db631348190812ba3582f1850c4 completed May 2, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69f67ec570a881909c98471b701999f0 completed May 2, 2026, 10:46 p.m.
Created at: April 9, 2026, 5:27 p.m.