Triple
T13983912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Harvester |
E336383
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object |
Cub Cadet
Cub Cadet is an American manufacturer best known for its lawn and garden tractors, mowers, and outdoor power equipment.
|
E1074005
|
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: Cub Cadet | Statement: [International Harvester, brand, Cub Cadet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cub Cadet Context triple: [International Harvester, brand, Cub Cadet]
-
A.
Husqvarna Garden
Husqvarna Garden is a multi-purpose indoor arena in Jönköping, Sweden, best known as the home venue of the professional ice hockey team HV71.
-
B.
Stihl
Stihl is a German manufacturer renowned worldwide for its chainsaws and outdoor power equipment.
-
C.
Doosan Bobcat
Doosan Bobcat is a global construction equipment manufacturer best known for producing compact machinery such as skid-steer loaders, excavators, and utility vehicles.
-
D.
John Deere
John Deere is a leading American manufacturer of agricultural, construction, and forestry machinery, best known for its green and yellow farm equipment.
-
E.
Lawn Boy
"Lawn Boy" is a jazz- and prog-influenced studio album by the American rock band Phish, known for its eclectic style and improvisational compositions.
- 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: Cub Cadet Triple: [International Harvester, brand, Cub Cadet]
Generated description
Cub Cadet is an American manufacturer best known for its lawn and garden tractors, mowers, and outdoor power equipment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cub Cadet Target entity description: Cub Cadet is an American manufacturer best known for its lawn and garden tractors, mowers, and outdoor power equipment.
-
A.
Husqvarna Garden
Husqvarna Garden is a multi-purpose indoor arena in Jönköping, Sweden, best known as the home venue of the professional ice hockey team HV71.
-
B.
Stihl
Stihl is a German manufacturer renowned worldwide for its chainsaws and outdoor power equipment.
-
C.
Doosan Bobcat
Doosan Bobcat is a global construction equipment manufacturer best known for producing compact machinery such as skid-steer loaders, excavators, and utility vehicles.
-
D.
John Deere
John Deere is a leading American manufacturer of agricultural, construction, and forestry machinery, best known for its green and yellow farm equipment.
-
E.
Lawn Boy
"Lawn Boy" is a jazz- and prog-influenced studio album by the American rock band Phish, known for its eclectic style and improvisational compositions.
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea2e8808190a1203a6386224bd8 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac942ba481908858d7f214085b5f |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbaf150bac8190a9a2ed59cd8461c4 |
completed | May 6, 2026, 9:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbaf91632c8190a956aa40c4ba335d |
completed | May 6, 2026, 9:16 p.m. |
Created at: April 9, 2026, 10:18 p.m.