Triple

T8337322
Position Surface form Disambiguated ID Type / Status
Subject Ruth Elizabeth Davis E195820 entity
Predicate spouse P13 FINISHED
Object Arthur Farnsworth E286478 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: Arthur Farnsworth | Statement: [Ruth Elizabeth Davis, spouse, Arthur Farnsworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Farnsworth
Context triple: [Ruth Elizabeth Davis, spouse, Arthur Farnsworth]
  • A. Arthur Farnsworth chosen
    Arthur Farnsworth was an American assistant director and film executive best known as the second husband of actress Bette Davis.
  • B. Thomas Farnsworth
    Thomas Farnsworth was an early English Quaker settler and landowner credited with establishing the community that became Bordentown, New Jersey in the late 17th century.
  • C. Thomas Mayne
    Thomas Mayne was an Australian food scientist best known for creating the chocolate malted milk drink Milo in the 1930s.
  • D. William Demarest
    William Demarest was an American character actor best known for his roles in numerous Hollywood films and the television series "My Three Sons."
  • E. Arthur Dorman
    Arthur Dorman was a British industrialist best known as a co-founder of the major steel and engineering firm Dorman Long and Co Ltd, which played a significant role in bridge building and heavy industry.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd5027c81909724f25aa30bbe58 completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69d02f2a6ca88190b3f234447feab6e3 completed April 3, 2026, 9:20 p.m.
Created at: March 30, 2026, 5:57 p.m.