Triple

T10543012
Position Surface form Disambiguated ID Type / Status
Subject Mindy Sterling E248742 entity
Predicate characterRole P268 FINISHED
Object Frau Farbissina E446109 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: Frau Farbissina | Statement: [Mindy Sterling, characterRole, Frau Farbissina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frau Farbissina
Context triple: [Mindy Sterling, characterRole, Frau Farbissina]
  • A. Frau Farbissina chosen
    Frau Farbissina is a loud, stern, and militaristic henchwoman and love interest of Dr. Evil in the Austin Powers comedy film series.
  • B. Rosabella
    Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
  • C. Caterina
    Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
  • D. Maria Sèthe
    Maria Sèthe was the wife and muse of Belgian architect and designer Henry van de Velde, known for her role in his artistic circle and early modernist milieu.
  • E. Pierina
    Pierina is an Italian feminine given name, notably borne by the celebrated ballerina Pierina Legnani.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5190f46d08190a92b1191881ffb92 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9342e6cf48190b0ca53ff2a4e0214 completed April 10, 2026, 5:32 p.m.
Created at: April 6, 2026, 12:32 p.m.