Triple
T14228350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Granite Systems |
E352682
|
entity |
| Predicate | coFounderRoleOfAndyBechtolsheim |
P69206
|
FINISHED |
| Object | chief architect |
—
|
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: chief architect | Statement: [Granite Systems, coFounderRoleOfAndyBechtolsheim, chief architect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coFounderRoleOfAndyBechtolsheim Context triple: [Granite Systems, coFounderRoleOfAndyBechtolsheim, chief architect]
-
A.
cofounderOf
Indicates that a person jointly established or created an organization, company, or project with one or more other founders.
-
B.
hasCoFounderRoleOf
chosen
Indicates that one entity holds the role or position of co-founder in relation to another entity, such as an organization or venture.
-
C.
coFounderOccupation
Indicates that the specified occupation is or was held by a person in their role as a co-founder of an organization.
-
D.
coFounderOfFounder
Indicates that one entity is a co-founder of another entity who is themselves a founder of something else.
-
E.
coFounderCompany
Indicates that a person is one of the founding members who jointly established a particular 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de622a48508190bbfedb762bd1674d |
completed | April 14, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69de05bf069c8190b69f00f00f5eb126 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:07 a.m.