Triple

T2017635
Position Surface form Disambiguated ID Type / Status
Subject Henry Rossiter Worthington E44031 entity
Predicate familyName P18 FINISHED
Object Worthington
Worthington is an English-origin surname borne by numerous notable figures in politics, industry, and the arts.
 E224574 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: Worthington | Statement: [Henry Rossiter Worthington, familyName, Worthington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Worthington
Context triple: [Henry Rossiter Worthington, familyName, Worthington]
  • A. Farmington
    Farmington is a city in northwestern New Mexico known as a regional hub for energy production and outdoor recreation near the Four Corners area.
  • B. Trumpington
    Trumpington is a historic village and suburb on the southern edge of Cambridge, England, known for its ancient parish church and association with the University city.
  • C. Randolph
    Randolph is a suburban town in eastern Massachusetts known for its residential communities and proximity to Boston.
  • D. Randolph
    Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
  • E. Randolph
    Randolph is a prominent English-origin surname historically associated with influential political and social figures, particularly in early American history.
  • 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: Worthington
Triple: [Henry Rossiter Worthington, familyName, Worthington]
Generated description
Worthington is an English-origin surname borne by numerous notable figures in politics, industry, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Worthington
Target entity description: Worthington is an English-origin surname borne by numerous notable figures in politics, industry, and the arts.
  • A. Farmington
    Farmington is a city in northwestern New Mexico known as a regional hub for energy production and outdoor recreation near the Four Corners area.
  • B. Trumpington
    Trumpington is a historic village and suburb on the southern edge of Cambridge, England, known for its ancient parish church and association with the University city.
  • C. Randolph
    Randolph is a suburban town in eastern Massachusetts known for its residential communities and proximity to Boston.
  • D. Randolph
    Randolph is the given name of Lord Randolph Churchill, a prominent 19th-century British Conservative politician and father of Winston Churchill.
  • E. Randolph
    Randolph is a prominent English-origin surname historically associated with influential political and social figures, particularly in early American history.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8ce71788190ac21beff10b08122 completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0af1547481909d5f2ca9c4715ace completed March 8, 2026, 11:49 p.m.
NEDg Description generation batch_69ae0b78340c8190897a8cbba418cb00 completed March 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69ae0c01b30c81908394e31aa3238bfa completed March 8, 2026, 11:53 p.m.
Created at: March 4, 2026, 7:38 p.m.