Triple
T3739422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rajeev Misra |
E79662
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | SoftBank Group |
E79659
|
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: SoftBank Group | Statement: [Rajeev Misra, employer, SoftBank Group]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SoftBank Group Context triple: [Rajeev Misra, employer, SoftBank Group]
-
A.
SoftBank Group
chosen
SoftBank Group is a Japanese multinational conglomerate holding company best known for its large-scale technology investments and telecommunications businesses.
-
B.
NTT DoCoMo
NTT DoCoMo is Japan’s largest mobile network operator, known for pioneering advanced mobile technologies and services, including early 3G deployments.
-
C.
Tokyo Tsushin Kogyo
Tokyo Tsushin Kogyo was the original name of the Japanese electronics company that later became globally known as Sony.
-
D.
Fujitsu Limited
Fujitsu Limited is a major Japanese multinational information and communications technology company known for its computing products, IT services, and solutions.
-
E.
Ant Group
Ant Group is a Chinese fintech giant best known for operating the Alipay mobile payment platform and providing a wide range of digital financial services.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb404b908190b6b4ee583dee3cc9 |
completed | March 8, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c6b2a488190a621cc223c673615 |
completed | March 14, 2026, 8:29 a.m. |
Created at: March 8, 2026, 3:34 p.m.