Triple
T25375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Motors |
E506
|
entity |
| Predicate | majorBrand |
P1502
|
FINISHED |
| Object |
GMC
GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
|
E11255
|
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: GMC | Statement: [General Motors, majorBrand, GMC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMC Context triple: [General Motors, majorBrand, GMC]
-
A.
Chevrolet
Chevrolet is a major American automobile marque known for producing a wide range of affordable cars, trucks, and SUVs.
-
B.
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.
-
C.
GMC Sierra
The GMC Sierra is a full-size pickup truck known for its powerful performance, upscale features, and role as one of General Motors’ flagship trucks.
-
D.
Hummer
Hummer is a line of large, military-inspired sport utility vehicles known for their rugged off-road capability, boxy design, and high fuel consumption.
-
E.
Oldsmobile
Oldsmobile was a historic American automobile marque known for pioneering innovations like the mass-produced Curved Dash and the Rocket V8 engine.
- 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: GMC Triple: [General Motors, majorBrand, GMC]
Generated description
GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GMC Target entity description: GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
-
A.
Chevrolet
Chevrolet is a major American automobile marque known for producing a wide range of affordable cars, trucks, and SUVs.
-
B.
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.
-
C.
GMC Sierra
The GMC Sierra is a full-size pickup truck known for its powerful performance, upscale features, and role as one of General Motors’ flagship trucks.
-
D.
Hummer
Hummer is a line of large, military-inspired sport utility vehicles known for their rugged off-road capability, boxy design, and high fuel consumption.
-
E.
Oldsmobile
Oldsmobile was a historic American automobile marque known for pioneering innovations like the mass-produced Curved Dash and the Rocket V8 engine.
- 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_69a27bfc4004819082a8e0a7885865e1 |
completed | Feb. 28, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69a27cb6cee48190a5a75dc88a63d9b2 |
completed | Feb. 28, 2026, 5:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a27d41912c819091823b35751380be |
completed | Feb. 28, 2026, 5:29 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.