Triple

T16785289
Position Surface form Disambiguated ID Type / Status
Subject Roy Del Ruth E407954 entity
Predicate spouse P13 FINISHED
Object Patsy Ruth Miller E751229 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: Patsy Ruth Miller | Statement: [Roy Del Ruth, spouse, Patsy Ruth Miller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patsy Ruth Miller
Context triple: [Roy Del Ruth, spouse, Patsy Ruth Miller]
  • A. Patsy Ruth Miller chosen
    Patsy Ruth Miller was an American silent film actress best known for her role as Esmeralda in the 1923 film adaptation of The Hunchback of Notre Dame.
  • B. Verna Felton
    Verna Felton was an American character actress and voice performer best known for her memorable roles in classic Disney animated films.
  • C. Patty Andrews
    Patty Andrews was the lead singer of the famed American close-harmony trio The Andrews Sisters, known for their popular swing and boogie-woogie recordings during the World War II era.
  • D. Betty Lou Bredemus
    Betty Lou Bredemus was an American acting coach and theater professional best known as the mother of actress Julia Roberts.
  • E. Patty Dann
    Patty Dann is an American novelist and memoirist best known for writing the coming-of-age novel "Mermaids," which was adapted into a popular 1990 film.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21996cc81909deb88545af7079f completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb0adc408190a9cbfefdef8c669e completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:22 a.m.