Triple

T27892341
Position Surface form Disambiguated ID Type / Status
Subject Elevation Partners E705387 entity
Predicate coFoundedBy P3263 FINISHED
Object Fred Anderson
Fred Anderson is an American businessman and former Apple Inc. chief financial officer who later became a co-founder and managing partner of the private equity firm Elevation Partners.
E1793533 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: Fred Anderson | Statement: [Elevation Partners, coFoundedBy, Fred Anderson]
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: Fred Anderson
Triple: [Elevation Partners, coFoundedBy, Fred Anderson]
Generated description
Fred Anderson is an American businessman and former Apple Inc. chief financial officer who later became a co-founder and managing partner of the private equity firm Elevation Partners.

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_69ef96b39c448190a9b3aa6672a5168f completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f639b6405081908f52f931b59520ef completed May 2, 2026, 5:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a13035e89208190802432a10b892f76 completed May 24, 2026, 1:55 p.m.
NEDg Description generation batch_6a13044829448190905f994a78ac7871 completed May 24, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_6a130515074c81909e402d00ce95b85f completed May 24, 2026, 2:03 p.m.
Created at: April 27, 2026, 6:36 p.m.