Triple
T25377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Motors |
E506
|
entity |
| Predicate | majorBrand |
P1502
|
FINISHED |
| Object |
Buick
Buick is an American automobile marque known for producing upscale, comfort-oriented vehicles positioned between mainstream and luxury brands.
|
E13135
|
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: Buick | Statement: [General Motors, majorBrand, Buick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buick Context triple: [General Motors, majorBrand, Buick]
-
A.
Oldsmobile
Oldsmobile was a historic American automobile marque known for pioneering innovations like the mass-produced Curved Dash and the Rocket V8 engine.
-
B.
Cadillac
Cadillac is a luxury automobile brand known for its premium vehicles and long-standing association with American upscale motoring.
-
C.
Pontiac
Pontiac was an American automobile marque known for its performance-oriented cars and sporty image, produced by General Motors until its discontinuation in 2010.
-
D.
Chevrolet
Chevrolet is a major American automobile marque known for producing a wide range of affordable cars, trucks, and SUVs.
-
E.
General Motors
General Motors is a major American multinational automotive manufacturer known for brands such as Chevrolet, GMC, Cadillac, and Buick.
- 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: Buick Triple: [General Motors, majorBrand, Buick]
Generated description
Buick is an American automobile marque known for producing upscale, comfort-oriented vehicles positioned between mainstream and luxury brands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buick Target entity description: Buick is an American automobile marque known for producing upscale, comfort-oriented vehicles positioned between mainstream and luxury brands.
-
A.
Oldsmobile
Oldsmobile was a historic American automobile marque known for pioneering innovations like the mass-produced Curved Dash and the Rocket V8 engine.
-
B.
Cadillac
Cadillac is a luxury automobile brand known for its premium vehicles and long-standing association with American upscale motoring.
-
C.
Pontiac
Pontiac was an American automobile marque known for its performance-oriented cars and sporty image, produced by General Motors until its discontinuation in 2010.
-
D.
Chevrolet
Chevrolet is a major American automobile marque known for producing a wide range of affordable cars, trucks, and SUVs.
-
E.
General Motors
General Motors is a major American multinational automotive manufacturer known for brands such as Chevrolet, GMC, Cadillac, and Buick.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a2481f9eac819093d9a950eb1ab109 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a29172b5b4819080efd4fe0d9658c6 |
completed | Feb. 28, 2026, 6:55 a.m. |
| NEDg | Description generation | batch_69a2940c5a448190a7f5f9a24cd13440 |
completed | Feb. 28, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a295d0d658819085a125015f087dfb |
completed | Feb. 28, 2026, 7:14 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.