Triple

T2330242
Position Surface form Disambiguated ID Type / Status
Subject Miranda Otto E48384 entity
Predicate mother P120 FINISHED
Object Lorenza Otto
Lorenza Otto is the daughter of Australian actress Miranda Otto.
E277719 NE FINISHED

How this triple was built (4 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, mother, Lorenza Otto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lorenza Otto
Context triple: [Miranda Otto, mother, Lorenza Otto]
  • A. Luisa Neubauer
    Luisa Neubauer is a prominent German climate activist and leading organizer of the Fridays for Future movement in Germany.
  • B. 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.
  • C. Marianne Tromlitz
    Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
  • D. Eva Schubach
    Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
  • E. Amalie Rohe
    Amalie Rohe was the mother of renowned modernist architect Ludwig Mies van der Rohe.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lorenza Otto
Triple: [Miranda Otto, mother, Lorenza Otto]
Generated description
Lorenza Otto is the daughter of Australian actress Miranda Otto.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lorenza Otto
Target entity description: Lorenza Otto is the daughter of Australian actress Miranda Otto.
  • A. Luisa Neubauer
    Luisa Neubauer is a prominent German climate activist and leading organizer of the Fridays for Future movement in Germany.
  • B. 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.
  • C. Marianne Tromlitz
    Marianne Tromlitz was the mother of the renowned Romantic-era pianist and composer Clara Schumann.
  • D. Eva Schubach
    Eva Schubach is known as a former spouse of Gerhard Schröder, the one-time Chancellor of Germany.
  • E. Amalie Rohe
    Amalie Rohe was the mother of renowned modernist architect Ludwig Mies van der Rohe.
  • F. None of above. chosen

Provenance (5 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_69a88aa308a88190b0b86c011fda7fce completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc667235c819086140af9db961203 completed March 7, 2026, 6:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cce716c8190b87b117b270b9a84 completed March 9, 2026, 11:50 p.m.
NEDg Description generation batch_69af5dea244c81909bd6bcdba0edf958 completed March 9, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_69af5e6449e4819084313a5b44d46044 completed March 9, 2026, 11:57 p.m.
Created at: March 4, 2026, 7:50 p.m.