Triple
T16424171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M47 Patton |
E398895
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object | Massey-Harris |
E487657
|
NE FINISHED |
How this triple was built (2 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: Massey-Harris | Statement: [M47 Patton, manufacturer, Massey-Harris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Massey-Harris Context triple: [M47 Patton, manufacturer, Massey-Harris]
-
A.
Massey-Ferguson
chosen
Massey-Ferguson is a major agricultural machinery manufacturer best known for its tractors and farm equipment used worldwide.
-
B.
International Harvester
International Harvester was a major American manufacturer of agricultural machinery, construction equipment, trucks, and related products throughout much of the 20th century.
-
C.
John Deere
John Deere is a leading American manufacturer of agricultural, construction, and forestry machinery, best known for its green and yellow farm equipment.
-
D.
Deering Harvester Company
Deering Harvester Company was a major late-19th and early-20th century American agricultural machinery manufacturer that became a key component of International Harvester after a landmark merger.
-
E.
New Holland
New Holland is a named corner on the Circuit de Barcelona-Catalunya, a prominent motorsport racetrack in Spain.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328f9da9081908dadbdac4b2d38ec |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c70aaa08190bf88210c0b491fc1 |
completed | May 10, 2026, 8:06 a.m. |
Created at: April 10, 2026, 5:09 a.m.