Triple
T8818477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandon Beck |
E209840
|
entity |
| Predicate | foundedCompanyInIndustry |
P8158
|
FINISHED |
| Object | Riot Games – video game industry |
—
|
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: Riot Games – video game industry | Statement: [Brandon Beck, foundedCompanyInIndustry, Riot Games – video game industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundedCompanyInIndustry Context triple: [Brandon Beck, foundedCompanyInIndustry, Riot Games – video game industry]
-
A.
foundedCompany
Indicates that an entity established or created a company, typically as its founder or co-founder.
-
B.
foundingIndustry
chosen
Indicates the industry or sector in which an entity was originally founded or began its primary operations.
-
C.
foundedCompanyInCountry
Indicates that an entity established or created a company whose founding took place within a specified country.
-
D.
notableCompanyFoundedIn
Indicates that a company is recognized as notable and was founded in the specified location or time period.
-
E.
associatedCompanyFoundedIn
Indicates that the related company was founded in the specified year or time period.
- 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_69ca8364e13081909c85fe80f44fe86f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc600e6e2881908934cbff0ab5d6fd |
completed | April 1, 2026, midnight |
| PD | Predicate disambiguation | batch_69cc5c21e64c81908490e3b0875dc0d6 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:46 p.m.