Triple

T13513972
Position Surface form Disambiguated ID Type / Status
Subject Richard Saul Wurman E322709 entity
Predicate coFoundedWith P2835 FINISHED
Object Harry Marks E363731 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: Harry Marks | Statement: [Richard Saul Wurman, coFoundedWith, Harry Marks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Marks
Context triple: [Richard Saul Wurman, coFoundedWith, Harry Marks]
  • A. Harry Marks chosen
    Harry Marks was a co-founder of the TED conferences, helping to establish the influential global platform for sharing ideas across technology, entertainment, and design.
  • B. Herbert H. Marks
    Herbert H. Marks was a notable individual distinguished enough in his field or public life to be recognized as a prominent bearer of the surname Marks.
  • C. Alvin Marks
    Alvin Marks was an American inventor known for his work on advanced energy technologies and high-efficiency lighting concepts.
  • D. Andrew Heiskell
    Andrew Heiskell was an American publishing executive and philanthropist best known as a longtime leader of Time Inc. and a prominent figure in New York’s cultural and civic life.
  • E. Harry Fischbeck
    Harry Fischbeck was an early American cinematographer best known as one of the founders of the American Society of Cinematographers, helping to establish professional standards and recognition for the craft.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf87ca288190a147fbdb2f90985f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d3afa0c81908733f3fd193d4e0f completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:44 p.m.