Triple

T6487005
Position Surface form Disambiguated ID Type / Status
Subject Mike Mansfield E146537 entity
Predicate familyName P18 FINISHED
Object Mansfield
Mansfield is a surname of English origin borne by various notable individuals across politics, arts, and other fields.
 E597507 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: Mansfield | Statement: [Mike Mansfield, familyName, Mansfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mansfield
Context triple: [Mike Mansfield, familyName, Mansfield]
  • A. Mansfield
    Mansfield is a large market town in Nottinghamshire, England, known historically for its coal mining industry and proximity to Sherwood Forest.
  • B. Mansfield
    Mansfield is a suburban city in the Dallas–Fort Worth metropolitan area of North Texas, known for its residential communities, schools, and family-oriented amenities.
  • C. Mansfield
    Mansfield is a town in southeastern Massachusetts known for its residential communities and the Xfinity Center outdoor concert venue.
  • D. Mansfield
    Mansfield is a small borough in northern Pennsylvania known for its rural setting and the presence of Mansfield University of Pennsylvania.
  • E. Stafford
    Stafford is a county in Northern Virginia known for its suburban communities, historical sites, and proximity to Washington, D.C.
  • 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: Mansfield
Triple: [Mike Mansfield, familyName, Mansfield]
Generated description
Mansfield is a surname of English origin borne by various notable individuals across politics, arts, and other fields.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mansfield
Target entity description: Mansfield is a surname of English origin borne by various notable individuals across politics, arts, and other fields.
  • A. Mansfield
    Mansfield is a large market town in Nottinghamshire, England, known historically for its coal mining industry and proximity to Sherwood Forest.
  • B. Mansfield
    Mansfield is a suburban city in the Dallas–Fort Worth metropolitan area of North Texas, known for its residential communities, schools, and family-oriented amenities.
  • C. Mansfield
    Mansfield is a town in southeastern Massachusetts known for its residential communities and the Xfinity Center outdoor concert venue.
  • D. Mansfield
    Mansfield is a small borough in northern Pennsylvania known for its rural setting and the presence of Mansfield University of Pennsylvania.
  • E. Stafford
    Stafford is a county in Northern Virginia known for its suburban communities, historical sites, and proximity to Washington, D.C.
  • 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_69c0090158c08190af0df9a2348d2d52 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a96a4048190a28dee5fd9258486 completed March 22, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c65fd88d7c8190a98b7a48d49280c3 completed March 27, 2026, 10:45 a.m.
NEDg Description generation batch_69c660a031188190815abb16f1b00d56 completed March 27, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_69c661019b0c8190a804273252033bfc completed March 27, 2026, 10:50 a.m.
Created at: March 22, 2026, 4:52 p.m.