Triple
T35149479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Dana Fairbank |
E1014944
|
entity |
| Predicate | hasEmployerNumberOfEmployeesScope |
P74492
|
FINISHED |
| Object | large publicly traded corporation (Capital One) |
—
|
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: large publicly traded corporation (Capital One) | Statement: [Richard Dana Fairbank, hasEmployerNumberOfEmployeesScope, large publicly traded corporation (Capital One)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmployerNumberOfEmployeesScope Context triple: [Richard Dana Fairbank, hasEmployerNumberOfEmployeesScope, large publicly traded corporation (Capital One)]
-
A.
appliesToEmployerSize
chosen
Indicates that something (such as a rule, policy, or condition) is applicable only to employers of a specified size or within a defined employer size range.
-
B.
hasEmployeeRange
Indicates the range or limits on the number of employees associated with an entity.
-
C.
hasEmployees
Indicates that one entity employs one or more other entities as its workers or staff.
-
D.
employsApproximateNumberOfPeople
Indicates that an entity employs a roughly estimated or approximate number of people, rather than an exact headcount.
-
E.
hasNumberOfCompanies
Indicates the quantitative relationship specifying how many companies are associated with a given entity.
- 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_69f76dda7c108190a2ffd93eb6c341a7 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78f63c8788190b253a18de5ca1312 |
completed | May 3, 2026, 6:09 p.m. |
| PD | Predicate disambiguation | batch_69f78e2d71248190b850c2802ec170c0 |
completed | May 3, 2026, 6:04 p.m. |
Created at: May 3, 2026, 4:02 p.m.