Triple

T11685144
Position Surface form Disambiguated ID Type / Status
Subject Miranda Otto E277719 entity
Predicate offspring P980 FINISHED
Object Lorenza Otto E277719 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: Lorenza Otto | Statement: [Miranda Otto, offspring, Lorenza Otto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorenza Otto
Context triple: [Miranda Otto, offspring, Lorenza Otto]
  • A. Lorenza Otto chosen
    Lorenza Otto is the daughter of Australian actress Miranda Otto.
  • B. Luisa Haag
    Luisa Haag was the mother of the 19th-century Russian writer and political thinker Alexander Herzen.
  • C. Luisa Neubauer
    Luisa Neubauer is a prominent German climate activist and leading organizer of the Fridays for Future movement in Germany.
  • D. Olga von Velten
    Olga von Velten was the second wife of renowned German physicist and physiologist Hermann von Helmholtz, with whom she was associated in late 19th-century German intellectual society.
  • E. Franziska Braun
    Franziska Braun was the wife of German physician Friedrich Braun, known primarily through this marital connection.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a463f6448190a4c8e1651a2bd905 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1303147948190b8d3b72529d23842 completed April 28, 2026, 10:09 p.m.
Created at: April 8, 2026, 9:40 p.m.