Triple
T33057177
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HC-256 |
E845873
|
entity |
| Predicate | categoryInESTREAM |
P122619
|
FINISHED |
| Object | software profile |
—
|
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: software profile | Statement: [HC-256, categoryInESTREAM, software profile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryInESTREAM Context triple: [HC-256, categoryInESTREAM, software profile]
-
A.
streamingCategory
chosen
Indicates the classification or genre under which a piece of content is organized or presented on a streaming platform.
-
B.
bookCategory
Indicates the classification or genre category to which a given book belongs.
-
C.
transmissionCategory
Indicates the mode or type of transmission through which something (e.g., a signal, disease, or data) is passed from one source to another.
-
D.
distributionCategory
Indicates the classification of how something is distributed, such as the channel, scope, or type of distribution applied to it.
-
E.
televisionRatingCategory
Indicates the content rating classification assigned to a television program based on its suitability for different audiences.
- 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_69f3495333b8819095e9af56855b9061 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6db6af1d88190989810182354d60f |
completed | May 3, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69f6d82d068c8190940a3200ed760e38 |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:25 a.m.