Triple
T21991757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigel |
E543105
|
entity |
| Predicate | appearsInOrganization |
P146201
|
FINISHED |
| Object | Runway magazine office |
—
|
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: Runway magazine office | Statement: [Nigel, appearsInOrganization, Runway magazine office]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInOrganization Context triple: [Nigel, appearsInOrganization, Runway magazine office]
-
A.
connectedOrganization
Indicates that there is an established relationship or association between two organizations, such that one is linked or affiliated with the other in some relevant context.
-
B.
hasOrganizationFor
Indicates that one entity possesses, is associated with, or is responsible for a particular organization in relation to some context or purpose.
-
C.
worksInOrganizationType
Indicates that an entity is employed by or performs work within an organization of a specified type (e.g., company, nonprofit, government agency).
-
D.
includesOrganization
Indicates that one entity contains, encompasses, or has within it the specified organization as a component, member, or part.
-
E.
usedInOrganization
Indicates that something (such as a tool, method, or resource) is employed or applied within a particular organization.
- F. None of above. chosen
Provenance (4 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270e951081908deda039b47ca84b |
completed | April 28, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
| PDg | Predicate description generation | batch_69e6fad4a540819096cdd5ea08527220 |
completed | April 21, 2026, 4:19 a.m. |
Created at: April 16, 2026, 8:05 p.m.