Triple

T12483553
Position Surface form Disambiguated ID Type / Status
Subject Lee Friedlander E298373 entity
Predicate hasChild P369 FINISHED
Object Erik Friedlander E740864 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: Erik Friedlander | Statement: [Lee Friedlander, hasChild, Erik Friedlander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erik Friedlander
Context triple: [Lee Friedlander, hasChild, Erik Friedlander]
  • A. Erik Friedlander chosen
    Erik Friedlander is an American cellist and composer known for his innovative work in avant-garde jazz, contemporary classical music, and genre-blending collaborations.
  • B. Michael Stern
    Michael Stern is an American philanthropist and real estate developer best known for founding New York City's Intrepid Sea, Air & Space Museum.
  • C. 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.
  • D. Joe Kraus
    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.
  • E. Eric Tannenbaum
    Eric Tannenbaum is a television producer best known for his work on popular American sitcoms, including serving as an executive producer on "Two and a Half Men."
  • 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_69d6ada377208190a36011199a4d8558 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dcef6548190a6d29375bdabd17d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f29307c8190b024d889d45ba9f7 completed May 2, 2026, 6:15 p.m.
Created at: April 8, 2026, 9:56 p.m.