Triple

T21331623
Position Surface form Disambiguated ID Type / Status
Subject Dorothy Peterson E525916 entity
Predicate name P16 FINISHED
Object Dorothy Peterson 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: Dorothy Peterson | Statement: [Dorothy Peterson, name, Dorothy Peterson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorothy Peterson
Context triple: [Dorothy Peterson, name, Dorothy Peterson]
  • A. Dorothy Peterson chosen
    Dorothy Peterson was an American character actress active in the early to mid-20th century, known for her numerous supporting roles in Hollywood films.
  • B. Dorothy Arnold
    Dorothy Arnold was a young American socialite whose mysterious 1910 disappearance in New York City became one of the era’s most famous unsolved missing-person cases.
  • C. Dorothy Arnold
    Dorothy Arnold was an American film actress of the 1930s and 1940s who appeared in several Hollywood productions before retiring from the screen.
  • D. Dorothy Berry
    Dorothy Berry was the wife of American film actor Victor Mature, known primarily for her marriage to the Hollywood star.
  • E. Dorothy Donnelly
    Dorothy Donnelly was an American actress, playwright, and librettist best known for her work on early 20th-century stage productions and operettas.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7ab54706081909445f9cd91a43788 completed April 21, 2026, 4:52 p.m.
Created at: April 16, 2026, 4:42 p.m.