Triple
T136355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chevrolet Corvette |
E2754
|
entity |
| Predicate | introducedAt |
P3297
|
FINISHED |
| Object |
GM Motorama
GM Motorama was General Motors’ traveling auto show of the 1950s that showcased futuristic concept cars and new production models to the public.
|
E25815
|
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: GM Motorama | Statement: [Chevrolet Corvette, introducedAt, GM Motorama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GM Motorama Context triple: [Chevrolet Corvette, introducedAt, GM Motorama]
-
A.
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.
-
B.
Packard
Packard is a surname most prominently associated with David Packard, the American electrical engineer and co-founder of Hewlett-Packard.
-
C.
Oldsmobile
Oldsmobile was a historic American automobile marque known for pioneering innovations like the mass-produced Curved Dash and the Rocket V8 engine.
-
D.
Buick
Buick is an American automobile marque known for producing upscale, comfort-oriented vehicles positioned between mainstream and luxury brands.
-
E.
GMC
GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
- 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: GM Motorama Triple: [Chevrolet Corvette, introducedAt, GM Motorama]
Generated description
GM Motorama was General Motors’ traveling auto show of the 1950s that showcased futuristic concept cars and new production models to the public.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GM Motorama Target entity description: GM Motorama was General Motors’ traveling auto show of the 1950s that showcased futuristic concept cars and new production models to the public.
-
A.
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.
-
B.
Packard
Packard is a surname most prominently associated with David Packard, the American electrical engineer and co-founder of Hewlett-Packard.
-
C.
Oldsmobile
Oldsmobile was a historic American automobile marque known for pioneering innovations like the mass-produced Curved Dash and the Rocket V8 engine.
-
D.
Buick
Buick is an American automobile marque known for producing upscale, comfort-oriented vehicles positioned between mainstream and luxury brands.
-
E.
GMC
GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a4edf081908c494c8370c76b9a |
completed | Feb. 28, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3232bf59c8190a8f2478c85b92ac8 |
completed | Feb. 28, 2026, 5:17 p.m. |
| NEDg | Description generation | batch_69a3271618c081908637a41e2ab1c29b |
completed | Feb. 28, 2026, 5:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a32776c1808190a7c50b9888d4aec5 |
completed | Feb. 28, 2026, 5:35 p.m. |
Created at: Feb. 28, 2026, 2:30 a.m.