Triple

T22206449
Position Surface form Disambiguated ID Type / Status
Subject Silver Lake E548819 entity
Predicate foundedBy P104 FINISHED
Object Jim Davidson 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: Jim Davidson | Statement: [Silver Lake, foundedBy, Jim Davidson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Davidson
Context triple: [Silver Lake, foundedBy, Jim Davidson]
  • A. Jim Davidson chosen
    Jim Davidson is an American private equity investor best known as a co-founder of the technology-focused investment firm Silver Lake Partners.
  • B. Scott Davidson
    Scott Davidson was a New York City firefighter who died in the September 11, 2001 attacks and is known as the late father of comedian Pete Davidson.
  • C. Jo Davidson
    Jo Davidson is a central police officer character in the British crime drama series "Line of Duty," whose ambiguous loyalties and hidden past drive much of the show's sixth-season intrigue.
  • D. Gary Davidson
    Gary Davidson is an American sports entrepreneur and attorney best known for co-founding several upstart professional leagues, including the American Basketball Association.
  • E. Andrew Davidson
    Andrew Davidson is a British illustrator and artist known for his detailed wood-engraving style used in book covers and classic literary editions.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2868d88190af313b862fe9d8f2 completed April 28, 2026, 9:48 p.m.
Created at: April 16, 2026, 8:36 p.m.