Triple

T30422276
Position Surface form Disambiguated ID Type / Status
Subject ATI Radeon Mobility M9 E773930 entity
Predicate successor P78 FINISHED
Object ATI Radeon Mobility 9600
The ATI Radeon Mobility 9600 is a mobile graphics processing unit from ATI's Radeon series, designed for laptops to deliver mid-range 3D gaming and multimedia performance in the early 2000s.
E1034273 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: ATI Radeon Mobility 9600 | Statement: [ATI Radeon Mobility M9, successor, ATI Radeon Mobility 9600]
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: ATI Radeon Mobility 9600
Triple: [ATI Radeon Mobility M9, successor, ATI Radeon Mobility 9600]
Generated description
The ATI Radeon Mobility 9600 is a mobile graphics processing unit from ATI's Radeon series, designed for laptops to deliver mid-range 3D gaming and multimedia performance in the early 2000s.

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_69f22491ba248190b9a4776ca8e42d02 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f6866596e0819096567c2f7c121936 completed May 2, 2026, 11:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a27be5bc4f481908515eee7dae77cfb completed June 9, 2026, 7:18 a.m.
NEDg Description generation batch_6a27bf245d708190bcd30e6372a0416b completed June 9, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_6a27bf8647ec8190887eb7d3683759b6 completed June 9, 2026, 7:23 a.m.
Created at: April 29, 2026, 8:06 p.m.