Triple
T29014794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OS Fund |
E737274
|
entity |
| Predicate | typicalPortfolioCompanyType |
P115050
|
FINISHED |
| Object | science-driven startup |
—
|
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: science-driven startup | Statement: [OS Fund, typicalPortfolioCompanyType, science-driven startup]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPortfolioCompanyType Context triple: [OS Fund, typicalPortfolioCompanyType, science-driven startup]
-
A.
portfolioCompany
Indicates that one entity is a company in which another entity (typically an investor or investment fund) holds an ownership stake as part of its investment portfolio.
-
B.
typicalEnterprises
Indicates that an entity is a standard or representative example of enterprises within a given context or category.
-
C.
typicalPortfolio
Indicates that one entity is the standard or representative portfolio associated with another entity (such as a person, account, or organization).
-
D.
typicalEmployer
Indicates that one entity is the kind of organization or person that commonly or usually employs the other entity.
-
E.
representsCompanyType
chosen
Indicates that an entity is associated with or classified under a specific type or category of company.
- 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_69f077ee19f881909af48f9cab00a2e5 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a0154b16a3c8190b808a460ae3a91ac |
completed | May 11, 2026, 4:01 a.m. |
| PD | Predicate disambiguation | batch_6a01539f19d88190b2de63f5262b1074 |
completed | May 11, 2026, 3:57 a.m. |
Created at: April 28, 2026, 9:44 a.m.