Triple
T3831812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MG Motor |
E91029
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object |
MG Cars
MG Cars was a historic British automotive marque best known for its affordable sports cars and roadsters produced throughout much of the 20th century.
|
E392642
|
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 Cars | Statement: [MG Motor, predecessor, MG Cars]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MG Cars Context triple: [MG Motor, predecessor, MG Cars]
-
A.
Lancia
Lancia is an Italian automobile manufacturer renowned for its historic innovations and success in motorsport, particularly rally racing.
-
B.
IM Motors
IM Motors is a Chinese premium electric vehicle brand known for its smart, tech-focused cars developed under SAIC Motor.
-
C.
Maserati
Maserati is an Italian luxury automobile manufacturer renowned for its high-performance sports cars and grand tourers distinguished by elegant design and racing heritage.
-
D.
Alfa Romeo
Alfa Romeo is an Italian automobile manufacturer renowned for its sporty, stylish cars and long heritage in motorsport and performance engineering.
-
E.
DS Automobiles
DS Automobiles is a French premium automotive brand known for its avant-garde design, advanced technology, and luxury-focused 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: MG Cars Triple: [MG Motor, predecessor, MG Cars]
Generated description
MG Cars was a historic British automotive marque best known for its affordable sports cars and roadsters produced throughout much of the 20th century.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MG Cars Target entity description: MG Cars was a historic British automotive marque best known for its affordable sports cars and roadsters produced throughout much of the 20th century.
-
A.
Lancia
Lancia is an Italian automobile manufacturer renowned for its historic innovations and success in motorsport, particularly rally racing.
-
B.
IM Motors
IM Motors is a Chinese premium electric vehicle brand known for its smart, tech-focused cars developed under SAIC Motor.
-
C.
Maserati
Maserati is an Italian luxury automobile manufacturer renowned for its high-performance sports cars and grand tourers distinguished by elegant design and racing heritage.
-
D.
Alfa Romeo
Alfa Romeo is an Italian automobile manufacturer renowned for its sporty, stylish cars and long heritage in motorsport and performance engineering.
-
E.
DS Automobiles
DS Automobiles is a French premium automotive brand known for its avant-garde design, advanced technology, and luxury-focused 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_69aed960b538819096561c8ed448dec9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeeb8787bc8190819a7af975b609df |
completed | March 9, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b503fcddb481909690b708754d3d8a |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b5057089e88190b3c5b85503b3f8fa |
completed | March 14, 2026, 6:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b505ec14b481909b71e66d68473c20 |
completed | March 14, 2026, 6:53 a.m. |
Created at: March 9, 2026, 3:17 p.m.