Triple

T22791041
Position Surface form Disambiguated ID Type / Status
Subject Patricia Marx Ellsberg E564109 entity
Predicate name P16 FINISHED
Object Patricia Marx Ellsberg 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: Patricia Marx Ellsberg | Statement: [Patricia Marx Ellsberg, name, Patricia Marx Ellsberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patricia Marx Ellsberg
Context triple: [Patricia Marx Ellsberg, name, Patricia Marx Ellsberg]
  • A. Patricia Marx Ellsberg chosen
    Patricia Marx Ellsberg is an American activist and former radio broadcaster known for her anti-war and social justice work alongside her husband, Pentagon Papers whistleblower Daniel Ellsberg.
  • B. Barbara Blakeley Marx
    Barbara Blakeley Marx was an American model and showgirl best known as the fourth and final wife of singer Frank Sinatra.
  • C. Jeanne Eagels
    Jeanne Eagels was a celebrated American stage and film actress of the early 20th century, renowned for her intense dramatic performances and posthumous Academy Award nomination.
  • D. Judith Lerner
    Judith Lerner is a character who appears in Jean-Luc Godard’s 2004 film "Notre musique."
  • E. Martha Raddatz
    Martha Raddatz is an American journalist and television news anchor best known as ABC News’ chief global affairs correspondent and a prominent moderator of U.S. political debates.
  • 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c3545fc819084af67cc25e94839 completed April 29, 2026, 3:34 a.m.
Created at: April 17, 2026, 3:29 p.m.