Triple

T8868791
Position Surface form Disambiguated ID Type / Status
Subject Meyer Lansky E211090 entity
Predicate spouse P13 FINISHED
Object Anne Citron E211090 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: Anne Citron | Statement: [Meyer Lansky, spouse, Anne Citron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anne Citron
Context triple: [Meyer Lansky, spouse, Anne Citron]
  • A. Anne Citron chosen
    Anne Citron was the wife of notorious American organized crime figure Meyer Lansky.
  • B. Alicia Z. Rosenfeld
    Alicia Z. Rosenfeld is a book editor known for her work on the inspirational Christian memoir "Miracles from Heaven."
  • C. Rachel Leibowitz
    Rachel Leibowitz is a person notable enough to be specifically cited as a bearer of the surname Leibowitz.
  • D. Judith F. Marks
    Judith F. Marks is an American business executive known for her leadership roles in major industrial and technology companies, including serving as a top executive at Otis Elevator Company.
  • E. Judith Kaye
    Judith Kaye was a pioneering American jurist who became the first woman and longest-serving Chief Judge of the New York Court of Appeals.
  • 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_69ca838d3c7c8190a849566d5afd2b11 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61241d048190aead14a8f5589856 completed April 1, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa0e247c88190a97c00ce20f9c1c1 completed April 3, 2026, 11:13 a.m.
Created at: March 30, 2026, 6:51 p.m.