Triple
T8483047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nal Kalchbrenner |
E200564
|
entity |
| Predicate | developedForDomain |
P83523
|
FINISHED |
| Object | raw audio generation |
—
|
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: raw audio generation | Statement: [Nal Kalchbrenner, developedForDomain, raw audio generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: developedForDomain Context triple: [Nal Kalchbrenner, developedForDomain, raw audio generation]
-
A.
developedForVendor
Indicates that something (such as a product, service, or solution) was specifically created or tailored to meet the needs or requirements of a particular vendor.
-
B.
developedForProgram
Indicates that something was created, designed, or produced specifically to be used in or support a particular program.
-
C.
developedForNetwork
Indicates that something was created, designed, or adapted specifically to operate within or support a particular network or networking environment.
-
D.
developedForLanguage
Indicates that something (such as a tool, system, or resource) was specifically created or adapted to be used with a particular language.
-
E.
developedWith
Indicates that something was created, built, or produced using a specified tool, technology, method, or collaborator.
- 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_69ca831b17988190a1f3f3413d57b820 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe53845e881909eeb32863c7aa942 |
completed | March 31, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69cbd107633c8190a36ba50e07876918 |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:12 p.m.