Triple

T7930855
Position Surface form Disambiguated ID Type / Status
Subject Google Ventures E184184 entity
Predicate keyPerson P256 FINISHED
Object Joe Kraus E438365 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: Joe Kraus | Statement: [Google Ventures, keyPerson, Joe Kraus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joe Kraus
Context triple: [Google Ventures, keyPerson, Joe Kraus]
  • A. Joe Kraus chosen
    Joe Kraus is an American entrepreneur and venture capitalist best known as a co-founder of the early web search company Excite and later a partner at Google Ventures.
  • B. Michael Stern
    Michael Stern is an American conductor best known for his long tenure leading the Kansas City Symphony and for his work with major orchestras in the United States and abroad.
  • C. Karl Straube
    Karl Straube was a prominent German organist, choral conductor, and influential interpreter of Bach and Reger who served as Thomaskantor in Leipzig.
  • D. Glenn Chadwick
    Glenn Chadwick is known as the husband of American actress Michael Learned, famed for her role as Olivia Walton on the television series "The Waltons."
  • E. David Frisch
    David Frisch is a former American football wide receiver who played in the National Football League during the 1990s.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3accc388819087065ebe7d5d9591 completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c01602081908ea1af24785260ff completed March 31, 2026, 5:30 a.m.
Created at: March 30, 2026, 5:07 p.m.