Triple

T21970879
Position Surface form Disambiguated ID Type / Status
Subject Mia Farrow E542583 entity
Predicate spouse P13 FINISHED
Object André Previn 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: André Previn | Statement: [Mia Farrow, spouse, André Previn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: André Previn
Context triple: [Mia Farrow, spouse, André Previn]
  • A. André Previn chosen
    André Previn was a renowned German-American conductor, pianist, and composer celebrated for his work in both classical music and Hollywood film scores.
  • B. Charles Previn
    Charles Previn was an American film composer and music director best known for his work on numerous Hollywood films during the 1930s and 1940s.
  • C. Fletcher Previn
    Fletcher Previn is an American technology executive best known for serving as Chief Information Officer at IBM and later at Cisco.
  • D. Lionel Bernstein
    Lionel Bernstein was a South African anti-apartheid activist and member of the Congress of Democrats who was tried alongside Nelson Mandela and others for sabotage during the Rivonia Trial.
  • E. Morton Gould
    Morton Gould was an American composer, conductor, and pianist known for blending classical and popular music styles and for his prolific contributions to 20th-century American music.
  • 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_69e0c48070988190909db97667b9a0ac completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12484b83081908c08e3285e0b14a9 completed April 28, 2026, 9:20 p.m.
Created at: April 16, 2026, 8:02 p.m.