Triple

T26212590
Position Surface form Disambiguated ID Type / Status
Subject Zen 3 E655526 entity
Predicate codenameMobilePlatform P140224 FINISHED
Object Cezanne
Cezanne is AMD’s Zen 3–based mobile APU family used in Ryzen laptop processors, integrating CPU and GPU cores on a single chip for power-efficient performance.
 E1714639 NE FINISHED

How this triple was built (3 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: Cezanne | Statement: [Zen 3, codenameMobilePlatform, Cezanne]
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: Cezanne
Triple: [Zen 3, codenameMobilePlatform, Cezanne]
Generated description
Cezanne is AMD’s Zen 3–based mobile APU family used in Ryzen laptop processors, integrating CPU and GPU cores on a single chip for power-efficient performance.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: codenameMobilePlatform
Context triple: [Zen 3, codenameMobilePlatform, Cezanne]
  • A. relatedCodename
    Indicates that one entity has an associated or connected codename that is contextually related to it.
  • B. hardwareCodename chosen
    Indicates that one entity is the internal or code name assigned to a particular hardware product or component.
  • C. codenameNumber
    Indicates that an entity is assigned or associated with a specific codename identifier represented as a number.
  • D. successorCodename
    Indicates that one codename directly follows and replaces another in a sequence or lifecycle.
  • E. servesCodename
    Indicates that one entity provides or uses another entity under a specific codename or alias.
  • F. None of above.

Provenance (6 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_69ee5b49adb4819086545280d4ef6337 completed April 26, 2026, 6:36 p.m.
NER Named-entity recognition batch_69f650c70d7c819093d9a0f005f7c8d5 completed May 2, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11858b71f48190bd979be75d984930 completed May 23, 2026, 10:46 a.m.
NEDg Description generation batch_6a11865aaac881909aa388f473a6e5a3 completed May 23, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_6a11873fe9708190a0ad2b27028b120a completed May 23, 2026, 10:53 a.m.
PD Predicate disambiguation batch_69f64cab1f648190a2a9460690d18a37 completed May 2, 2026, 7:12 p.m.
Created at: April 26, 2026, 8:53 p.m.