Triple
T5741818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway magazine |
E126631
|
entity |
| Predicate | workEnvironmentDepiction |
P66480
|
FINISHED |
| Object | demanding |
—
|
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: demanding | Statement: [Runway magazine, workEnvironmentDepiction, demanding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workEnvironmentDepiction Context triple: [Runway magazine, workEnvironmentDepiction, demanding]
-
A.
genreOfWorkEnvironment
Indicates the type or style of work environment associated with a particular job, role, or organization.
-
B.
workDescribedIn
Indicates that a work (such as a publication or document) provides a description or account of the referenced entity.
-
C.
studioOfWork
Indicates that a particular studio is the place where a given work (such as a film, artwork, or recording) was created, produced, or primarily developed.
-
D.
environmentType
Indicates the kind or category of environment associated with an entity or situation.
-
E.
professionalEnvironment
Indicates a relationship where an entity operates, interacts, or exists within a work-related or career-oriented setting or context.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c02b4ea03c81908c3d799462de20c4 |
completed | March 22, 2026, 5:47 p.m. |
Created at: March 22, 2026, 3:48 p.m.