Triple

T984042
Position Surface form Disambiguated ID Type / Status
Subject The Ten Commandments (1923 film) E21238 entity
Predicate starredActor P5563 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: [The Ten Commandments (1923 film), starredActor, Nita Naldi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nita Naldi
Context triple: [The Ten Commandments (1923 film), starredActor, 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. Annita Baldo
    Annita Baldo was the first wife of renowned Brazilian architect Oscar Niemeyer, with whom he shared a long marriage before her death.
  • C. Yvonne Zima
    Yvonne Zima is an American actress known for her work as a child performer in films and television, including notable roles in 1990s thrillers and popular TV dramas.
  • D. Nino Brown
    Nino Brown is a fictional New York City drug kingpin and the main antagonist of the 1991 crime film "New Jack City," portrayed by Wesley Snipes.
  • E. Santha Faiia
    Santha Faiia is a photographer known for her work documenting ancient sacred sites and for being married to author and researcher Graham Hancock.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b493f5dc819090d239c2f7e083de completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69acc605c85881909adc6091bb9d9f8c completed March 8, 2026, 12:42 a.m.
Created at: March 1, 2026, 7:41 p.m.