Triple
T29035649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sega Genesis Model 1 |
E737849
|
entity |
| Predicate | audioReputation |
P166537
|
FINISHED |
| Object | distinctive FM-based sound |
—
|
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: distinctive FM-based sound | Statement: [Sega Genesis Model 1, audioReputation, distinctive FM-based sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: audioReputation Context triple: [Sega Genesis Model 1, audioReputation, distinctive FM-based sound]
-
A.
soundReputation
Indicates that an entity is regarded as trustworthy, reliable, and of good standing by others.
-
B.
instrumentReputation
Indicates a relationship where an instrument is associated with a particular level or type of reputation, such as perceived quality, reliability, or prestige.
-
C.
performanceReputation
Indicates the perceived quality or reliability of an entity’s past or expected performance as judged by others.
-
D.
crowdReputation
Indicates the collective opinion or perceived standing of an entity as judged by a group or general audience.
-
E.
allMusicRating
Indicates a relationship where a music item is associated with an overall evaluative score or rating.
- 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_69f077efb3848190b41574e1670f6ae2 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 28, 2026, 9:58 a.m.