Triple

T1963392
Position Surface form Disambiguated ID Type / Status
Subject Monika Mann E42635 entity
Predicate sibling P363 FINISHED
Object Elisabeth Mann Borgese E42636 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: Elisabeth Mann Borgese | Statement: [Monika Mann, sibling, Elisabeth Mann Borgese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisabeth Mann Borgese
Context triple: [Monika Mann, sibling, Elisabeth Mann Borgese]
  • A. Elisabeth Mann Borgese chosen
    Elisabeth Mann Borgese was a German-born writer and pioneering advocate for international ocean governance and the law of the sea.
  • B. Helen Gardner
    Helen Gardner is a noted literary scholar and critic, best known for her influential work on English poetry and Renaissance literature.
  • C. Sara Danius
    Sara Danius was a Swedish scholar of literature and aesthetics who became the first female permanent secretary of the Swedish Academy, the body that awards the Nobel Prize in Literature.
  • D. Helen Wolff
    Helen Wolff was a distinguished German-American editor and publisher renowned for bringing important European literature to English-speaking audiences, notably through her work at Pantheon Books.
  • E. Eugenia Brin
    Eugenia Brin is the mother of Google co-founder Sergey Brin and a Jewish refugee from the Soviet Union who worked as a research scientist in the United States.
  • 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_69a88711151c8190940b2572095059d7 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3ac31a08190abaecac8badc52c7 completed March 7, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0acd9c3c8190a6f1140a7fac1627 completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:36 p.m.