Triple

T21610567
Position Surface form Disambiguated ID Type / Status
Subject Jane Randolph E533293 entity
Predicate name P16 FINISHED
Object Jane Randolph 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: Jane Randolph | Statement: [Jane Randolph, name, Jane Randolph]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Randolph
Context triple: [Jane Randolph, name, Jane Randolph]
  • A. Jane Randolph chosen
    Jane Randolph was an American film actress best known for her roles in 1940s Hollywood horror and noir films, including a prominent part in the classic thriller "Cat People."
  • B. Maria St. John Sheffield
    Maria St. John Sheffield was the wife of American railroad executive and philanthropist Joseph E. Sheffield, associated with 19th-century New England society.
  • C. Mary Apthorp
    Mary Apthorp was the wife of influential American theologian and Congregational minister Horace Bushnell in the 19th century.
  • D. Florence Purcell
    Florence Purcell was the wife of American comedian and singer Jerry Colonna.
  • E. Virginia Welles
    Virginia Welles was an American film actress active in the 1940s and 1950s, known for her supporting roles in Hollywood dramas and comedies.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e88f7081909371bc0de2147609 completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.