Triple
T18190356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MS |
E435515
|
entity |
| Predicate | associatedCompanyPrimaryBusiness |
P6749
|
FINISHED |
| Object | investment banking |
—
|
LITERAL 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: investment banking | Statement: [MS, associatedCompanyPrimaryBusiness, investment banking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCompanyPrimaryBusiness Context triple: [MS, associatedCompanyPrimaryBusiness, investment banking]
-
A.
associatedCompanyBusinessSegment
Indicates that a company is linked to a specific business segment through its operations, products, or services.
-
B.
relatedCompanyType
Indicates the type or nature of the relationship that one company has to another company.
-
C.
associatedCompanySpecialization
Indicates that a company is linked to a particular area of specialization or expertise.
-
D.
associatedCompanyMainProductLine
Indicates that a company’s primary or main line of products is linked or related to a specified product category or product line.
-
E.
underlyingCompanyBusinessFocus
chosen
Indicates the primary industry, sector, or type of business activity that the underlying company is focused on.
- F. None of above.
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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0016ec08190ae853dbc89865a41 |
completed | April 19, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.