Triple

T16073554
Position Surface form Disambiguated ID Type / Status
Subject Ruth M. Davis E389925 entity
Predicate hasMaidenName P36176 FINISHED
Object Nitze E92993 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: Nitze | Statement: [Ruth M. Davis, hasMaidenName, Nitze]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nitze
Context triple: [Ruth M. Davis, hasMaidenName, Nitze]
  • A. Nitze chosen
    Nitze is a surname most prominently associated with Paul Nitze, an influential American diplomat and key architect of U.S. Cold War defense policy.
  • B. Zakheim
    Zakheim is a surname most notably associated with Bernard Zakheim, a Polish-born American muralist known for his New Deal–era public artworks in California.
  • C. Barak
    Barak is a biblical military leader in the Book of Judges who, alongside the prophetess Deborah, led Israel to victory over the Canaanite commander Sisera.
  • D. Kemeny
    Kemeny is a surname most notably associated with figures such as mathematician and computer scientist John G. Kemeny, co-developer of the BASIC programming language and former president of Dartmouth College.
  • E. Neumann
    Neumann is a variant spelling of the surname Newman, commonly of German origin and borne by various notable figures in science, mathematics, and the arts.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183c0390c8190b0da263cccec14e5 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe484cef08190a3797c91a7025081 completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:57 a.m.