Triple

T4819865
Position Surface form Disambiguated ID Type / Status
Subject Frederic T. Greenhalge E107683 entity
Predicate familyName P18 FINISHED
Object Greenhalge
Greenhalge is an English-origin surname most notably associated with Frederic T. Greenhalge, a 19th-century governor of Massachusetts.
 E471960 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: Greenhalge | Statement: [Frederic T. Greenhalge, familyName, Greenhalge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Greenhalge
Context triple: [Frederic T. Greenhalge, familyName, Greenhalge]
  • A. Heseltine
    Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
  • B. Hollander
    Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
  • C. Hargreaves
    Hargreaves is an English surname most notably associated with James Hargreaves, the 18th-century inventor of the spinning jenny.
  • D. Holthees
    Holthees is a small village in the Dutch province of North Brabant, known for its rural character and historic church.
  • E. Whalley
    Whalley is a historic village in Lancashire, England, known for its medieval abbey ruins and picturesque setting in the Ribble Valley.
  • 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: Greenhalge
Triple: [Frederic T. Greenhalge, familyName, Greenhalge]
Generated description
Greenhalge is an English-origin surname most notably associated with Frederic T. Greenhalge, a 19th-century governor of Massachusetts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Greenhalge
Target entity description: Greenhalge is an English-origin surname most notably associated with Frederic T. Greenhalge, a 19th-century governor of Massachusetts.
  • A. Heseltine
    Heseltine is a surname most prominently associated with Michael Heseltine, a senior British Conservative politician and former Deputy Prime Minister.
  • B. Hollander
    Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
  • C. Hargreaves
    Hargreaves is an English surname most notably associated with James Hargreaves, the 18th-century inventor of the spinning jenny.
  • D. Holthees
    Holthees is a small village in the Dutch province of North Brabant, known for its rural character and historic church.
  • E. Whalley
    Whalley is a historic village in Lancashire, England, known for its medieval abbey ruins and picturesque setting in the Ribble Valley.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c98358081908ed43425af667a98 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4dbbfe588190bae0aca210bea2bc completed March 21, 2026, 7:50 a.m.
NEDg Description generation batch_69be4f6ceb60819080dc1ee93950a7f0 completed March 21, 2026, 7:57 a.m.
NED2 Entity disambiguation (via description) batch_69be4fbc83188190af2c9767aa9272a7 completed March 21, 2026, 7:58 a.m.
Created at: March 20, 2026, 1:24 p.m.