Triple

T10298555
Position Surface form Disambiguated ID Type / Status
Subject Walter Findlay E241562 entity
Predicate spouse P13 FINISHED
Object Maude Findlay E167026 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: Maude Findlay | Statement: [Walter Findlay, spouse, Maude Findlay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maude Findlay
Context triple: [Walter Findlay, spouse, Maude Findlay]
  • A. Maude Findlay chosen
    Maude Findlay is the outspoken, liberal, middle-aged feminist protagonist of the 1970s American sitcom "Maude," portrayed by Bea Arthur.
  • B. Maude Maggart
    Maude Maggart is an American cabaret singer known for her interpretations of early 20th-century popular songs and standards.
  • C. Mary Alice
    Mary Alice was an American actress best known for her roles in film, television, and theater, including portraying the Oracle in "The Matrix Revolutions."
  • D. Mary Tyler Peabody
    Mary Tyler Peabody was a 19th-century American educator and writer best known as the wife of novelist Nathaniel Hawthorne and a member of the prominent Peabody family of New England intellectuals.
  • E. Beverly Archer
    Beverly Archer is an American television actress best known for her comedic roles in series such as "Mama’s Family" and "Major Dad."
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ed50908190962f0d6d049fb964 completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d35d5908190bb87100c81f2948a completed April 9, 2026, 3:29 a.m.
Created at: April 6, 2026, 11:44 a.m.