Triple

T10122062
Position Surface form Disambiguated ID Type / Status
Subject Joseph McCarthy E223317 entity
Predicate spouse P13 FINISHED
Object Jean Kerr McCarthy E223317 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: Jean Kerr McCarthy | Statement: [Joseph McCarthy, spouse, Jean Kerr McCarthy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean Kerr McCarthy
Context triple: [Joseph McCarthy, spouse, Jean Kerr McCarthy]
  • A. Jean Kerr McCarthy chosen
    Jean Kerr McCarthy was the wife of U.S. Senator Joseph McCarthy and a conservative political figure who supported and helped manage aspects of his controversial anti-communist career.
  • B. Jean Kerr
    Jean Kerr was an American author and playwright best known for her humorous essays and plays about suburban family life, including the bestseller "Please Don’t Eat the Daisies."
  • C. Elinor Donahue
    Elinor Donahue is an American actress best known for her work in classic television sitcoms of the 1950s and 1960s.
  • D. Myrna Fahey
    Myrna Fahey was an American actress known for her film and television roles in the 1950s and 1960s, often appearing in comedies and dramas.
  • E. Eileen Fulton
    Eileen Fulton is an American actress best known for originating and playing the iconic character Lisa Grimaldi on the long-running soap opera "As the World Turns" for several decades.
  • 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_69ca8422047c81909d66b717b8b18cf3 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cdd26846b8819098594bf211920eb2 completed April 2, 2026, 2:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d32aa5032081909b2aab2f8eb4c4a7 completed April 6, 2026, 3:38 a.m.
Created at: March 30, 2026, 9:05 p.m.