Triple
T10366171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breathe (2017 film) |
E244255
|
entity |
| Predicate | portraysInnovation |
P93598
|
FINISHED |
| Object | wheelchair with built-in respirator |
—
|
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: wheelchair with built-in respirator | Statement: [Breathe (2017 film), portraysInnovation, wheelchair with built-in respirator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysInnovation Context triple: [Breathe (2017 film), portraysInnovation, wheelchair with built-in respirator]
-
A.
innovationFrom
Indicates that something originates, arises, or is derived as an innovation from a particular source or prior entity.
-
B.
innovation
Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
-
C.
usedInnovation
Indicates that one entity applied or implemented an innovation (such as a new idea, method, or technology) in relation to another entity or context.
-
D.
innovationArea
Indicates the thematic or domain-specific field in which an innovation is focused or applied.
-
E.
technologyPioneered
Indicates that an entity was the first or among the first to develop, introduce, or significantly advance a particular technology.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e96f25f48190a41c8b0206b9238c |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, noon