Triple
T5887976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitsubishi |
E130915
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Mitsubishi UFJ Morgan Stanley Securities |
E99565
|
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: Mitsubishi UFJ Morgan Stanley Securities | Statement: [Mitsubishi, hasMember, Mitsubishi UFJ Morgan Stanley Securities]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitsubishi UFJ Morgan Stanley Securities Context triple: [Mitsubishi, hasMember, Mitsubishi UFJ Morgan Stanley Securities]
-
A.
Nomura
Nomura is a Japanese surname borne by numerous notable figures in fields such as business, sports, and the arts.
-
B.
Morgan Stanley
chosen
Morgan Stanley is a leading global financial services firm known for its investment banking, securities, wealth management, and investment management services.
-
C.
Mizuho
Mizuho is a high-speed Shinkansen train service in Japan that operates primarily between major cities such as Osaka and Kagoshima on the Sanyo and Kyushu Shinkansen lines.
-
D.
Mizuho
Mizuho is a town in Tokyo Metropolis, Japan, known for its suburban character and proximity to the Tama area.
-
E.
Mitsui & Co., Ltd.
Mitsui & Co., Ltd. is one of Japan’s largest general trading companies (sōgō shōsha), engaged globally in diverse businesses including energy, metals, machinery, chemicals, food, and infrastructure.
- 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_69c0085628dc8190b334c1b44c067efc |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036af6330819081d9fa98a8c26633 |
completed | March 22, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b141a93081908ad4a64f9a96dce4 |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:57 p.m.