Triple

T12533616
Position Surface form Disambiguated ID Type / Status
Subject Greer E299630 entity
Predicate hasVariant P455 FINISHED
Object Grear
Grear is a variant spelling of the surname Greer, which is of Scottish and Irish origin.
E988529 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: Grear | Statement: [Greer, hasVariant, Grear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grear
Context triple: [Greer, hasVariant, Grear]
  • A. Badgerline
    Badgerline was a major British bus operator that emerged from the privatization of the National Bus Company and later became a core part of the transport group FirstGroup.
  • B. Neoplan
    Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
  • C. Meritor
    Meritor is the abbreviated name of Meritor Savings Bank, FSB, a former U.S. financial institution that provided consumer and commercial banking services.
  • D. Melroe Manufacturing Company
    Melroe Manufacturing Company was the original name of the American manufacturer that became Bobcat Company, best known for pioneering compact loaders and construction equipment.
  • E. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • 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: Grear
Triple: [Greer, hasVariant, Grear]
Generated description
Grear is a variant spelling of the surname Greer, which is of Scottish and Irish origin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Grear
Target entity description: Grear is a variant spelling of the surname Greer, which is of Scottish and Irish origin.
  • A. Badgerline
    Badgerline was a major British bus operator that emerged from the privatization of the National Bus Company and later became a core part of the transport group FirstGroup.
  • B. Neoplan
    Neoplan is a German bus and coach manufacturer renowned for its innovative, high-end touring and city buses.
  • C. Meritor
    Meritor is the abbreviated name of Meritor Savings Bank, FSB, a former U.S. financial institution that provided consumer and commercial banking services.
  • D. Melroe Manufacturing Company
    Melroe Manufacturing Company was the original name of the American manufacturer that became Bobcat Company, best known for pioneering compact loaders and construction equipment.
  • E. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546b8fd48190ae90e80785b2e2d1 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bc9b9ec8190a25e2658d79836bc completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64da25bf88190889273bf41e2f154 completed May 2, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69f65213ed84819086fda178aaf9e774 completed May 2, 2026, 7:35 p.m.
Created at: April 8, 2026, 9:57 p.m.