Triple
T8413310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ristar |
E198672
|
entity |
| Predicate | marketingPlatform |
P18370
|
FINISHED |
| Object | Sega Genesis 16-bit library |
—
|
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: Sega Genesis 16-bit library | Statement: [Ristar, marketingPlatform, Sega Genesis 16-bit library]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marketingPlatform Context triple: [Ristar, marketingPlatform, Sega Genesis 16-bit library]
-
A.
marketingUse
chosen
Indicates that something is used for marketing purposes, such as promotion, advertising, or brand communication.
-
B.
marketingAs
Indicates that one entity is being presented, promoted, or branded to others as if it were another specified entity, role, or category.
-
C.
campaignConnection
Indicates a relationship where two entities are linked through participation in, association with, or influence within the same campaign or related campaigns.
-
D.
marketReach
Indicates the extent or breadth of audience, customers, or geographic areas that a product, service, or message successfully reaches in the market.
-
E.
campaignMethod
Indicates the method or approach used to conduct or deliver a campaign.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e18e7c8190a30b14136dee3d93 |
completed | March 31, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69cb70d473dc8190af8ea81ee5aa970d |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 6:06 p.m.