Triple
T6025435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William C. Shaw |
E134164
|
entity |
| Predicate | areaOfInnovation |
P16245
|
FINISHED |
| Object | large-format film projection |
—
|
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: large-format film projection | Statement: [William C. Shaw, areaOfInnovation, large-format film projection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaOfInnovation Context triple: [William C. Shaw, areaOfInnovation, large-format film projection]
-
A.
innovationArea
chosen
Indicates the thematic or domain-specific field in which an innovation is focused or applied.
-
B.
innovation
Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
-
C.
innovationFrom
Indicates that something originates, arises, or is derived as an innovation from a particular source or prior entity.
-
D.
sharesInnovationWith
Indicates that one entity shares or exchanges innovative ideas, methods, or technologies with another entity.
-
E.
hasInnovationHub
Indicates that an entity hosts, contains, or is associated with a dedicated center or facility focused on innovation 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_69c008742a5c8190b9cb9c2787a3d8b3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04fc08c5c819085afab5b18bce4d1 |
completed | March 22, 2026, 8:23 p.m. |
| PD | Predicate disambiguation | batch_69c049e75b3881908be106fbcf8c68d4 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:07 p.m.