Triple
T1110962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodore Case |
E25594
|
entity |
| Predicate | inventionType |
P24461
|
FINISHED |
| Object | audio recording for motion pictures |
—
|
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: audio recording for motion pictures | Statement: [Theodore Case, inventionType, audio recording for motion pictures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inventionType Context triple: [Theodore Case, inventionType, audio recording for motion pictures]
-
A.
innovation
Indicates the introduction or development of something new or significantly improved compared to existing methods, products, or ideas.
-
B.
innovationArea
Indicates the thematic or domain-specific field in which an innovation is focused or applied.
-
C.
wasInventedBy
Indicates that something (typically an object, concept, or process) was created or brought into existence by a particular inventor or originator.
-
D.
patentIn
Indicates that one entity holds or is associated with a patent located, filed, or registered in a particular jurisdiction, organization, or context represented by the other entity.
-
E.
hasKeyInvention
Indicates that an entity possesses or is associated with a primary or crucial invention.
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbd92a8c8190a16e55f3f739010f |
completed | March 1, 2026, 10:21 p.m. |
| PD | Predicate disambiguation | batch_69a4bb42990c819080db96478fd4977e |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bbd7ff1881908c943ecdfea59e81 |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:43 p.m.