Triple

T4215840
Position Surface form Disambiguated ID Type / Status
Subject Nita Naldi E94212 entity
Predicate name P16 FINISHED
Object Nita Naldi E94212 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: Nita Naldi | Statement: [Nita Naldi, name, Nita Naldi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nita Naldi
Context triple: [Nita Naldi, name, Nita Naldi]
  • A. Nita Naldi chosen
    Nita Naldi was a prominent American silent film actress best known for her sultry vamp roles opposite stars like Rudolph Valentino in the early 1920s.
  • B. Anna Nolin
    Anna Nolin is an American educator and school district leader who serves as superintendent of the Newton Public Schools in Massachusetts.
  • C. Nina Warren
    Nina Warren was the wife of U.S. Chief Justice and former California Governor Earl Warren and a prominent political hostess and partner in his public life.
  • D. Nora Kaye
    Nora Kaye was an acclaimed American ballerina and actress, renowned as one of the leading dramatic dancers of the mid-20th century.
  • E. Annita Baldo
    Annita Baldo was the first wife of renowned Brazilian architect Oscar Niemeyer, with whom he shared a long marriage before her death.
  • 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_69b3451997e08190851db4a9a588837d completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b34bea284081909beaded9873f0852 completed March 12, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5963779d08190a95eb110361bf1f1 completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.