Triple
T8859978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sega 32X |
E210861
|
entity |
| Predicate | soundMemory |
P50876
|
FINISHED |
| Object | 256 KB |
—
|
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: 256 KB | Statement: [Sega 32X, soundMemory, 256 KB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: soundMemory Context triple: [Sega 32X, soundMemory, 256 KB]
-
A.
audioMemory
chosen
Indicates that one entity stores, retains, or is associated with audio information or sound-based memories related to another entity.
-
B.
memory
Indicates that an entity retains, recalls, or is associated with stored information or past experiences.
-
C.
memorizedBy
Indicates that some content, information, or material has been learned and retained in memory by a particular entity.
-
D.
soundRecordingBy
Indicates that a sound recording was created, performed, or produced by a particular agent (such as an artist, band, or producer).
-
E.
rememberedThrough
Indicates that one entity is remembered, commemorated, or kept in memory by means of, or through the influence of, another entity or medium.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e712d08190bfb1c4ba3acaea90 |
completed | April 1, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69cc5c279ea481908c71756f694b66bf |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:50 p.m.