Triple
T13576265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Kenwright |
E324291
|
entity |
| Predicate | hasEmployerOrFounderRole |
P13957
|
FINISHED |
| Object | founder of Bill Kenwright Ltd |
—
|
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: founder of Bill Kenwright Ltd | Statement: [William Kenwright, hasEmployerOrFounderRole, founder of Bill Kenwright Ltd]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEmployerOrFounderRole Context triple: [William Kenwright, hasEmployerOrFounderRole, founder of Bill Kenwright Ltd]
-
A.
hasCoFounderRole
Indicates that an entity holds or is assigned the role of co-founder in relation to another entity (such as an organization or project).
-
B.
hasCoFounderRoleOf
Indicates that one entity holds the role or position of co-founder in relation to another entity, such as an organization or venture.
-
C.
hasOrganizationalRole
chosen
Indicates that an entity holds a specific role, position, or function within an organization.
-
D.
hasAuthorEmployer
Indicates that the specified organization or entity is the employer of the author in question.
-
E.
hasPartnershipRole
Indicates that an entity holds a specific role or function within a partnership relationship with another 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_69d80769100c819099111274614f5ed2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb02b1f108190a12af382d1de70bb |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae161a0481909f9d3f40ca4e0ac5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:48 p.m.