Triple
T5213071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GMT360 |
E117679
|
entity |
| Predicate | successor |
P78
|
FINISHED |
| Object |
GMT361
GMT361 is a model in General Motors' GMT platform line of full-size vehicles that followed the GMT360 architecture.
|
E503576
|
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: GMT361 | Statement: [GMT360, successor, GMT361]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GMT361 Context triple: [GMT360, successor, GMT361]
-
A.
Athleta
Athleta is an American women’s athletic and lifestyle apparel brand known for performance-focused, inclusive, and fashion-forward activewear.
-
B.
Reebok
Reebok is a global athletic footwear and apparel brand known for its sportswear, fitness-focused products, and collaborations in running, training, and lifestyle markets.
-
C.
K2 Sports
K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
-
D.
Coogs
Coogs is a common shorthand nickname for the University of Houston Cougars athletic teams and their fans.
-
E.
brumbies
Brumbies are free-roaming wild horses found primarily in the Australian outback, often seen as symbols of the country's rugged, untamed spirit.
- 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: GMT361 Triple: [GMT360, successor, GMT361]
Generated description
GMT361 is a model in General Motors' GMT platform line of full-size vehicles that followed the GMT360 architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: GMT361 Target entity description: GMT361 is a model in General Motors' GMT platform line of full-size vehicles that followed the GMT360 architecture.
-
A.
Athleta
Athleta is an American women’s athletic and lifestyle apparel brand known for performance-focused, inclusive, and fashion-forward activewear.
-
B.
Reebok
Reebok is a global athletic footwear and apparel brand known for its sportswear, fitness-focused products, and collaborations in running, training, and lifestyle markets.
-
C.
K2 Sports
K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
-
D.
Coogs
Coogs is a common shorthand nickname for the University of Houston Cougars athletic teams and their fans.
-
E.
brumbies
Brumbies are free-roaming wild horses found primarily in the Australian outback, often seen as symbols of the country's rugged, untamed spirit.
- 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_69bd4464ba3c8190bc16b2ebbe42ddb0 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a730e6c8190ae6082da41ee592a |
completed | March 20, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beefdee940819098e397ab50f57411 |
completed | March 21, 2026, 7:22 p.m. |
| NEDg | Description generation | batch_69bef0b1fe9c8190bfc1be621c7c1c76 |
completed | March 21, 2026, 7:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bef16739148190b9700228be7d07f9 |
completed | March 21, 2026, 7:28 p.m. |
Created at: March 20, 2026, 1:47 p.m.