Triple

T18045651
Position Surface form Disambiguated ID Type / Status
Subject Bella Rosenfeld E431765 entity
Predicate name P16 FINISHED
Object Bella Rosenfeld 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: Bella Rosenfeld | Statement: [Bella Rosenfeld, name, Bella Rosenfeld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bella Rosenfeld
Context triple: [Bella Rosenfeld, name, Bella Rosenfeld]
  • A. Bella Rosenfeld chosen
    Bella Rosenfeld was a Belarusian-born Jewish writer and the first wife and muse of artist Marc Chagall, who featured her prominently in many of his most famous paintings.
  • B. Sarah Schechter
    Sarah Schechter is a prominent American television and film producer known for her extensive work on hit series and genre projects, including numerous Greg Berlanti–produced shows.
  • C. Bella Finkel
    Bella Finkel was the wife of acclaimed stage and film actor Paul Muni and a fellow performer from the Yiddish theatre world.
  • D. Margot Löwenthal
    Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
  • E. Marie Brenner
    Marie Brenner is an American journalist, author, and longtime Vanity Fair writer known for her investigative reporting and narrative nonfiction.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff202088190ae971879348e2294 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.