Triple

T15500877
Position Surface form Disambiguated ID Type / Status
Subject Outliers E378947 entity
Predicate usesCaseStudy P2398 FINISHED
Object Bill Gates E20772 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: Bill Gates | Statement: [Outliers, usesCaseStudy, Bill Gates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Gates
Context triple: [Outliers, usesCaseStudy, Bill Gates]
  • A. Bill Gates chosen
    Bill Gates is an American business magnate, software pioneer, and philanthropist who co-created the Windows operating system and later co-founded one of the world’s largest charitable foundations.
  • B. Larry Gates
    Larry Gates was an American character actor known for his work in film, television, and theater, often portraying authoritative or paternal figures.
  • C. Willard Gates
    Willard Gates is a scheming, morally corrupt businessman and secondary antagonist in the 1942 film noir "This Gun for Hire."
  • D. Steve Ballmer
    Steve Ballmer is an American businessman and former Microsoft CEO known for his energetic leadership style and ownership of the NBA’s Los Angeles Clippers.
  • E. Paul Allen
    Paul Allen was an American entrepreneur, investor, and philanthropist best known as the co-founder of Microsoft alongside Bill Gates.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fcb4e8c81908e4ab463e3ae252b completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3669f908819087162b1b8a4e4320 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:54 a.m.