Triple

T3624867
Position Surface form Disambiguated ID Type / Status
Subject Marla Lerner Tanenbaum E76812 entity
Predicate relative P37 FINISHED
Object Ted 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: Ted Lerner | Statement: [Marla Lerner Tanenbaum, relative, Ted Lerner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Lerner
Context triple: [Marla Lerner Tanenbaum, relative, Ted 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. Mark Lerner
    Mark Lerner is an American businessman best known as a principal owner of the Washington Nationals Major League Baseball team and the son of real estate magnate Ted Lerner.
  • C. Michele Lerner
    Michele Lerner is known primarily as the third wife of American lyricist and playwright Alan Jay Lerner.
  • D. Murray Lerner
    Murray Lerner was an American documentary and concert filmmaker best known for his music films capturing iconic performances by artists such as Bob Dylan, Jimi Hendrix, and The Who.
  • E. Vern Schillinger
    Vern Schillinger is a fictional white supremacist prison leader and one of the primary antagonists on the HBO series "Oz," portrayed by actor J.K. Simmons.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2d9845c8190ad65b2471000dfa0 completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3852e60819092db2992e945a4c7 completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:23 p.m.