Triple
T7535356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edmonds |
E178135
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Edmunds
Edmunds is a variant spelling of the name Edmonds, commonly used as a surname.
|
E670989
|
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: Edmunds | Statement: [Edmonds, hasVariant, Edmunds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edmunds Context triple: [Edmonds, hasVariant, Edmunds]
-
A.
Kelley Blue Book
Kelley Blue Book is a widely used automotive valuation and research company known for providing trusted pricing information and reviews for new and used vehicles.
-
B.
Autotrader
Autotrader is a major online automotive marketplace where consumers can buy, sell, and research new and used vehicles.
-
C.
Dealertrack
Dealertrack is a leading automotive retail software and services provider that offers dealers and lenders digital solutions for sales, financing, and workflow management.
-
D.
Copart
Copart is a global online vehicle auction company specializing in the resale and remarketing of salvage and clean title cars, trucks, and other vehicles to buyers such as dealers, dismantlers, and the general public.
-
E.
Used Cars
Used Cars is a 1980 American satirical comedy film starring Kurt Russell as a fast-talking, unscrupulous car salesman embroiled in a rivalry between competing dealerships.
- 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: Edmunds Triple: [Edmonds, hasVariant, Edmunds]
Generated description
Edmunds is a variant spelling of the name Edmonds, commonly used as a surname.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Edmunds Target entity description: Edmunds is a variant spelling of the name Edmonds, commonly used as a surname.
-
A.
Kelley Blue Book
Kelley Blue Book is a widely used automotive valuation and research company known for providing trusted pricing information and reviews for new and used vehicles.
-
B.
Autotrader
Autotrader is a major online automotive marketplace where consumers can buy, sell, and research new and used vehicles.
-
C.
Dealertrack
Dealertrack is a leading automotive retail software and services provider that offers dealers and lenders digital solutions for sales, financing, and workflow management.
-
D.
Copart
Copart is a global online vehicle auction company specializing in the resale and remarketing of salvage and clean title cars, trucks, and other vehicles to buyers such as dealers, dismantlers, and the general public.
-
E.
Used Cars
Used Cars is a 1980 American satirical comedy film starring Kurt Russell as a fast-talking, unscrupulous car salesman embroiled in a rivalry between competing dealerships.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84c13208190971096a0b81b0ff2 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f0c02148190bb5f63cf9891ec0c |
completed | March 28, 2026, 9:58 p.m. |
| NEDg | Description generation | batch_69c84f9ce82081908813a1185b9b3570 |
completed | March 28, 2026, 10:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8500e64788190b196988290aea7d7 |
completed | March 28, 2026, 10:02 p.m. |
Created at: March 27, 2026, 3:47 p.m.