Triple

T18258038
Position Surface form Disambiguated ID Type / Status
Subject Path E437266 entity
Predicate founder P104 FINISHED
Object Shawn Fanning NE NERFINISHED

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: Shawn Fanning | Statement: [Path, founder, Shawn Fanning]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shawn Fanning
Context triple: [Path, founder, Shawn Fanning]
  • A. Shawn Fanning chosen
    Shawn Fanning is an American computer programmer and entrepreneur best known for creating the pioneering peer-to-peer file sharing service Napster, which revolutionized digital music distribution in the late 1990s.
  • B. Drew Houston
    Drew Houston is an American entrepreneur best known as the co-founder and CEO of the cloud storage company Dropbox.
  • C. Steve Perlman
    Steve Perlman is an American entrepreneur and inventor best known for founding multiple pioneering technology companies in digital media and cloud computing.
  • D. Jawed Karim
    Jawed Karim is a German-American computer scientist and entrepreneur best known as a co-founder of YouTube and the uploader of its first video.
  • E. Simon Rosedale
    Simon Rosedale is a wealthy, socially ambitious Jewish businessman in Edith Wharton’s novel "The House of Mirth," known for his shrewdness and complex relationship with Lily Bart.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd8879e88190893f8da7c3529496 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:34 a.m.