Triple

T12844123
Position Surface form Disambiguated ID Type / Status
Subject Angela Beesley E307127 entity
Predicate coFounderWith P2835 FINISHED
Object Jimmy Wales E10551 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: Jimmy Wales | Statement: [Angela Beesley, coFounderWith, Jimmy Wales]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jimmy Wales
Context triple: [Angela Beesley, coFounderWith, Jimmy Wales]
  • A. Jimmy Wales chosen
    Jimmy Wales is an American Internet entrepreneur best known as the co-founder of the free online encyclopedia Wikipedia.
  • B. Larry Sanger
    Larry Sanger is an American Internet project developer and philosopher best known as the co-founder of Wikipedia.
  • C. Brewster Kahle
    Brewster Kahle is an American computer engineer, internet entrepreneur, and digital librarian best known as the founder of the Internet Archive, a nonprofit dedicated to preserving and providing universal access to knowledge.
  • D. Steve Huffman
    Steve Huffman is an American web developer and entrepreneur best known as the co-founder and CEO of the social news and discussion platform Reddit.
  • E. Jonathan I. Schwartz
    Jonathan I. Schwartz is an American technology executive best known for serving as the CEO of Sun Microsystems during the mid-2000s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdf52b94819096d6f0ba4ab50a98 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff3a7208190b93f6292ed5efc07 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b9fa40c8190bbc2c6ad22795de4 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:36 p.m.