Triple

T22019026
Position Surface form Disambiguated ID Type / Status
Subject Nachman E543788 entity
Predicate hasVariant P455 FINISHED
Object Nahman NE NERFINISHED

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: Nahman | Statement: [Nachman, hasVariant, Nahman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nahman
Context triple: [Nachman, hasVariant, Nahman]
  • A. Nachman chosen
    Nachman is a masculine given name of Hebrew origin, traditionally used in Jewish communities.
  • B. Zalman
    Zalman is a masculine given name of Hebrew origin, commonly used in Jewish communities and often associated with religious and cultural figures.
  • C. Natan
    Natan is a masculine given name of Hebrew origin, commonly used in Jewish and Israeli communities and meaning "he gave."
  • D. Yonah Gerondi
    Yonah Gerondi, also known as Rabbenu Yonah, was a prominent 13th-century Spanish rabbi and ethicist best known for his influential work "Shaarei Teshuva" (Gates of Repentance).
  • E. Chaim
    Chaim is a given name notably borne by Chaim Weizmann, the first President of the State of Israel and a prominent Zionist leader and chemist.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127c5929881908458d07bd33c5edd completed April 28, 2026, 9:33 p.m.
Created at: April 16, 2026, 8:23 p.m.