Triple

T17758145
Position Surface form Disambiguated ID Type / Status
Subject Joe Lonsdale E443298 entity
Predicate name P16 FINISHED
Object Joe Lonsdale 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: Joe Lonsdale | Statement: [Joe Lonsdale, name, Joe Lonsdale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Lonsdale
Context triple: [Joe Lonsdale, name, Joe Lonsdale]
  • A. Joe Lonsdale chosen
    Joe Lonsdale is an American entrepreneur and investor best known as a co-founder of the data analytics company Palantir Technologies and as a prominent venture capitalist in Silicon Valley.
  • B. Michel Lonsdale
    Michel Lonsdale was a French actor known for his prolific career in European cinema and for roles in films such as "The Day of the Jackal," "Moonraker," and "Of Gods and Men."
  • C. John Dolman
    John Dolman was an English clergyman and benefactor of the late 16th century best known for establishing Pocklington School in Yorkshire.
  • D. James Lloyd
    James Lloyd, better known by his stage name Lil' Cease, is an American rapper from Brooklyn associated with The Notorious B.I.G. and Junior M.A.F.I.A.
  • E. Guy Stockwell
    Guy Stockwell was an American film and television actor known for his prolific character roles from the 1950s through the 1980s.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4841fe97881908f4df503fb781763 completed April 19, 2026, 7:28 a.m.
Created at: April 10, 2026, 10:10 a.m.