Triple
T16179471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG T-Type |
E392648
|
entity |
| Predicate | seriesIncludes |
P22382
|
FINISHED |
| Object |
MG TB
The MG TB is a late-1930s British two-seat sports car, notable as an early post-Midget evolution with improved performance and refinement over its MG T-Type predecessors.
|
E1198970
|
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: MG TB | Statement: [MG T-Type, seriesIncludes, MG TB]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MG TB Context triple: [MG T-Type, seriesIncludes, MG TB]
-
A.
TB-7
TB-7, later known as the Petlyakov Pe-8, was a Soviet four-engined heavy bomber used during World War II for long-range strategic bombing missions.
-
B.
MG TC
The MG TC is a classic British two-seat sports car produced just after World War II that helped popularize the sports car concept, especially in the United States.
-
C.
TB
TB is the standard abbreviation for the Tampa Bay Rays, a Major League Baseball team based in St. Petersburg, Florida.
-
D.
TBM
TBM is the abbreviated name of the Tampa Bay Mutiny, a former Major League Soccer team based in Tampa, Florida.
-
E.
TB-11
TB-11 was the hull designation for USS Farragut, a United States Navy torpedo boat commissioned in the late 19th century.
- 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: MG TB Triple: [MG T-Type, seriesIncludes, MG TB]
Generated description
The MG TB is a late-1930s British two-seat sports car, notable as an early post-Midget evolution with improved performance and refinement over its MG T-Type predecessors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MG TB Target entity description: The MG TB is a late-1930s British two-seat sports car, notable as an early post-Midget evolution with improved performance and refinement over its MG T-Type predecessors.
-
A.
TB-7
TB-7, later known as the Petlyakov Pe-8, was a Soviet four-engined heavy bomber used during World War II for long-range strategic bombing missions.
-
B.
MG TC
The MG TC is a classic British two-seat sports car produced just after World War II that helped popularize the sports car concept, especially in the United States.
-
C.
TB
TB is the standard abbreviation for the Tampa Bay Rays, a Major League Baseball team based in St. Petersburg, Florida.
-
D.
TBM
TBM is the abbreviated name of the Tampa Bay Mutiny, a former Major League Soccer team based in Tampa, Florida.
-
E.
TB-11
TB-11 was the hull designation for USS Farragut, a United States Navy torpedo boat commissioned in the late 19th century.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2205b88b481908ecdd8d663dc668b |
completed | April 17, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff0022148190bc1810e76cf6d994 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a000170f87481909fbfb2104e6b0403 |
completed | May 10, 2026, 3:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0001d5018481908e84a33e4a797f95 |
completed | May 10, 2026, 3:56 a.m. |
Created at: April 10, 2026, 5:02 a.m.