Triple

T31945965
Position Surface form Disambiguated ID Type / Status
Subject Graphics Core Next E815651 entity
Predicate usedIn P98 FINISHED
Object PlayStation 4 Pro GPU
The PlayStation 4 Pro GPU is a custom AMD-based graphics processor built on the Graphics Core Next architecture, designed to deliver enhanced 4K and HDR gaming performance over the base PS4.
E1987426 NE 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: PlayStation 4 Pro GPU | Statement: [Graphics Core Next, usedIn, PlayStation 4 Pro GPU]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PlayStation 4 Pro GPU
Triple: [Graphics Core Next, usedIn, PlayStation 4 Pro GPU]
Generated description
The PlayStation 4 Pro GPU is a custom AMD-based graphics processor built on the Graphics Core Next architecture, designed to deliver enhanced 4K and HDR gaming performance over the base PS4.

Provenance (5 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_69f348f42d188190a33fc8d20ec50517 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b27930d881909d5bef056bf5e7e5 completed May 3, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2eb13e62708190a55796ba1f665c89 completed June 14, 2026, 1:48 p.m.
NEDg Description generation batch_6a2eb55fc1048190a99ca50c96072d57 completed June 14, 2026, 2:06 p.m.
NED2 Entity disambiguation (via description) batch_6a2eb57d64008190993082e12f3f07ae completed June 14, 2026, 2:06 p.m.
Created at: May 1, 2026, 12:06 a.m.