Triple

T7835713
Position Surface form Disambiguated ID Type / Status
Subject Gerda Lerner E181685 entity
Predicate familyName P18 FINISHED
Object Lerner E181685 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 | Statement: [Gerda Lerner, familyName, Lerner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lerner
Context triple: [Gerda Lerner, familyName, Lerner]
  • A. Lerner chosen
    Lerner is a surname most notably associated with Sandy Lerner, the co-founder of Cisco Systems and a prominent philanthropist and businesswoman.
  • B. Lerman
    Lerman is a surname most notably associated with American actor Logan Lerman, known for roles in films such as the "Percy Jackson" series and "The Perks of Being a Wallflower."
  • C. Ted Lerner
    Ted Lerner was an American real estate developer and principal owner of the Washington Nationals Major League Baseball team.
  • D. Samuel Lerner
    Samuel Lerner was a 20th-century songwriter and lyricist best known for composing music and lyrics for early film and radio, including the theme song for the cartoon character Betty Boop.
  • E. Max Lerner
    Max Lerner was an American journalist, educator, and political commentator best known for his syndicated newspaper columns and his influential book "America as a Civilization."
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb064cb7e081909e88419863d94dfe completed March 30, 2026, 11:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cc9340c99c819085294de7466f40eb completed April 1, 2026, 3:38 a.m.
Created at: March 30, 2026, 4:46 p.m.