Triple

T17868152
Position Surface form Disambiguated ID Type / Status
Subject Min and Bill E446759 entity
Predicate starring P1507 FINISHED
Object Dorothy Jordan 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 Jordan | Statement: [Min and Bill, starring, Dorothy Jordan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorothy Jordan
Context triple: [Min and Bill, starring, Dorothy Jordan]
  • A. Dorothy Jordan chosen
    Dorothy Jordan was an American silent film actress best known for her work in early Hollywood cinema during the late 1920s and early 1930s.
  • B. Dorothy Vaneman
    Dorothy Vaneman is a central protagonist in the early science fiction novel "The Skylark of Space," known for accompanying the heroes on their pioneering interstellar adventures.
  • C. Dorothy DuBois
    Dorothy DuBois was the wife of American Treasury Department lawyer and Holocaust whistleblower Josiah E. DuBois Jr.
  • D. Dorothy Good
    Dorothy Good was a young child accused of witchcraft during the Salem witch trials in colonial Massachusetts.
  • E. Dorothy Virginia Wayman
    Dorothy Virginia Wayman was an American journalist and writer who was married to the renowned fashion and portrait photographer Richard Avedon.
  • 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_69d8b9f4c22c819093c2680434472894 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49aa0b69081909fba3b42d237b543 completed April 19, 2026, 9:04 a.m.
Created at: April 10, 2026, 10:17 a.m.