Triple
T15098390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Torch Media Inc. |
E360598
|
entity |
| Predicate | softwareLicenseTypeOfMainProduct |
P48520
|
FINISHED |
| Object | freeware |
—
|
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: freeware | Statement: [Torch Media Inc., softwareLicenseTypeOfMainProduct, freeware]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: softwareLicenseTypeOfMainProduct Context triple: [Torch Media Inc., softwareLicenseTypeOfMainProduct, freeware]
-
A.
licensedProductType
chosen
Indicates the type or category of product for which a license has been granted.
-
B.
licenseFamily
Indicates that one license belongs to, is derived from, or is categorized under a broader family or class of related licenses.
-
C.
softwareLicenseWorkedWith
Indicates that a particular software license has been used or handled in the course of working with a given software product, project, or component.
-
D.
licenseName
Indicates the specific name or title of the license under which an entity is provided or governed.
-
E.
licenseModel
Indicates the licensing scheme or framework that governs how something may be used, distributed, or accessed.
- 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_69d85a035aa88190b52a139d3a1b7b6d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0054f00388190a5123d9f4a869b96 |
completed | April 15, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69deb9645b9c8190a5712456dbd78029 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:04 a.m.