Triple

T13596987
Position Surface form Disambiguated ID Type / Status
Subject Mark Lerner E324846 entity
Predicate partOf P40 FINISHED
Object Lerner family E3256 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: Lerner family | Statement: [Mark Lerner, partOf, Lerner family]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lerner family
Context triple: [Mark Lerner, partOf, Lerner family]
  • A. Lerner family chosen
    The Lerner family is a prominent Washington, D.C.–based real estate and business family best known for owning Major League Baseball’s Washington Nationals.
  • B. Levine family
    The Levine family is a benefactor family recognized for its significant philanthropic support to the University of California, Berkeley, including contributions that led to the naming of its softball stadium.
  • C. Leventhal family
    The Leventhal family is a prominent philanthropic family known for significant contributions to education, urbanism, and civic institutions.
  • D. Stern family
    The Stern family is a notable Jewish family name associated with various influential figures in business, finance, academia, and the arts across Europe and the United States.
  • E. Belfer family
    The Belfer family is a prominent philanthropic family known for major donations to educational, medical, and research institutions.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb0590558819080ccc5874a650b1e completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc99dac8190bc267fdf405e8d58 completed May 3, 2026, 3:37 p.m.
Created at: April 9, 2026, 9:49 p.m.