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.