Triple

T38310265
Position Surface form Disambiguated ID Type / Status
Subject Chief Executive Officer of Advanced Micro Devices E1033662 entity
Predicate employerFoundedBy P21078 FINISHED
Object Sven Simonsen
Sven Simonsen is a business executive recognized as the founder of the semiconductor company Advanced Micro Devices (AMD).
E317288 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: Sven Simonsen | Statement: [Chief Executive Officer of Advanced Micro Devices, employerFoundedBy, Sven Simonsen]
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: Sven Simonsen
Triple: [Chief Executive Officer of Advanced Micro Devices, employerFoundedBy, Sven Simonsen]
Generated description
Sven Simonsen is a business executive recognized as the founder of the semiconductor company Advanced Micro Devices (AMD).

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_69f76e132c408190969b3d35c04b87ae completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69fd2d7fafc48190ab3d56dc75681289 completed May 8, 2026, 12:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a42157eaa2081908fe15dd71f7b9589 completed June 29, 2026, 6:49 a.m.
NEDg Description generation batch_6a4216ecd3688190a117869a30d4c46b completed June 29, 2026, 6:55 a.m.
NED2 Entity disambiguation (via description) batch_6a421746980081908d03f4fafab2c10f completed June 29, 2026, 6:57 a.m.
Created at: May 3, 2026, 4:30 p.m.