Triple

T7428470
Position Surface form Disambiguated ID Type / Status
Subject Dug Song E171425 entity
Predicate coFoundedWith P2835 FINISHED
Object Jon Oberheide E176788 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: Jon Oberheide | Statement: [Dug Song, coFoundedWith, Jon Oberheide]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jon Oberheide
Context triple: [Dug Song, coFoundedWith, Jon Oberheide]
  • A. Jon Oberheide chosen
    Jon Oberheide is a cybersecurity entrepreneur and researcher best known as the co-founder and former CTO of Duo Security, a leading multi-factor authentication and zero-trust security company.
  • B. Nick Mathewson
    Nick Mathewson is a computer scientist and software developer best known as a co-founder and core architect of the Tor anonymity network.
  • C. Jonathan Teplitzky
    Jonathan Teplitzky is an Australian film director known for character-driven dramas such as "The Railway Man" and "Burning Man."
  • D. John Barron
    John Barron was the Baltimore wharf owner whose lawsuit against the city led to the landmark U.S. Supreme Court case Barron v. Baltimore, which clarified that the Bill of Rights initially applied only to the federal government.
  • E. David Heitner
    David Heitner is a film editor known for his work on the South African musical drama film "Sarafina!".
  • 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_69c68a63491881909281f73d4d5643bf completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f306bfe481909f99f6792de95ffc completed March 27, 2026, 9:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81f0e28e88190805108dff740dda3 completed March 28, 2026, 6:33 p.m.
Created at: March 27, 2026, 3:12 p.m.