Triple
T1611329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konstantin Guericke |
E34619
|
entity |
| Predicate | roleAtLinkedIn |
P13957
|
FINISHED |
| Object | co-founder |
—
|
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: co-founder | Statement: [Konstantin Guericke, roleAtLinkedIn, co-founder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAtLinkedIn Context triple: [Konstantin Guericke, roleAtLinkedIn, co-founder]
-
A.
roleInIndustry
Indicates the specific function, position, or capacity an entity holds within a particular industry or sector.
-
B.
roleSimilarTo
Indicates that two entities have roles or functions that are alike or closely comparable in nature or responsibility.
-
C.
hasOrganizationalRole
chosen
Indicates that an entity holds a specific role, position, or function within an organization.
-
D.
sharesProfessionWith
Indicates that two entities have the same profession or occupational role.
-
E.
recruitingProfile
Indicates that an entity serves as or is associated with a recruiting profile used for hiring or talent acquisition activities.
- 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_69a885ffc5ec819091afa325d5f9611c |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a93fa6926081908bc78d15c0be3185 |
completed | March 5, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69a907c35f848190a2428c52e81d013e |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.