Triple

T159753
Position Surface form Disambiguated ID Type / Status
Subject Lerner family E3256 entity
Predicate member P10 FINISHED
Object Mark Lerner E56818 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: Mark Lerner | Statement: [Lerner family, member, Mark Lerner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Lerner
Context triple: [Lerner family, member, Mark Lerner]
  • A. Ted Lerner chosen
    Ted Lerner was an American real estate developer and principal owner of the Washington Nationals Major League Baseball team.
  • B. Michael V. Drake
    Michael V. Drake is an American academic leader and physician who has served as president of both The Ohio State University and the University of California system.
  • C. Chris Lebenzon
    Chris Lebenzon is an American film editor known for his long-time collaborations with directors like Tim Burton and Tony Scott on major Hollywood films.
  • 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. Martin J. Hillenbrand
    Martin J. Hillenbrand was an American career diplomat who held several key Cold War-era posts, including serving as U.S. Ambassador to Hungary and later to the Federal Republic of Germany.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25855baf48190a1b63f2e5865d957 completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a49846eb50819099c51cd1d6d74875 completed March 1, 2026, 7:49 p.m.
Created at: Feb. 28, 2026, 2:31 a.m.