Triple

T21289403
Position Surface form Disambiguated ID Type / Status
Subject Ruth Buzzi E524745 entity
Predicate name P16 FINISHED
Object Ruth Buzzi NE NERFINISHED

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: Ruth Buzzi | Statement: [Ruth Buzzi, name, Ruth Buzzi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruth Buzzi
Context triple: [Ruth Buzzi, name, Ruth Buzzi]
  • A. Ruth Buzzi chosen
    Ruth Buzzi is an American comedienne and actress best known for her zany, character-driven sketch comedy work on television in the late 1960s and 1970s.
  • B. Jane Weinzapfel
    Jane Weinzapfel is an American architect recognized for her leadership in contemporary design and as a pioneering woman in the field.
  • C. Florence Delson
    Florence Delson was the wife of influential American linguist and anthropologist Edward Sapir.
  • D. Ruth Boas
    Ruth Boas was a member of the prominent Boas family, related to anthropologist Franz Boas and his daughter, dancer and anthropologist Franziska Boas.
  • E. Marjorie Corso
    Marjorie Corso is a costume designer known for her work on the 1961 beach party film "Operation Bikini."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d882408190a2300327cb73b7f6 completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:03 p.m.