Triple

T20585525
Position Surface form Disambiguated ID Type / Status
Subject Anna Maria Louisa Italiano E505775 entity
Predicate spouse P13 FINISHED
Object Martin May E503886 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: Martin May | Statement: [Anna Maria Louisa Italiano, spouse, Martin May]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin May
Context triple: [Anna Maria Louisa Italiano, spouse, Martin May]
  • A. Martin May chosen
    Martin May is the husband of acclaimed American actress Anne Bancroft.
  • B. Martin McKee
    Martin McKee is a prominent public health physician and researcher known for his work on health policy, health systems, and the impacts of social and political change on population health.
  • C. Thomas Farley
    Thomas Farley was the father of American comedian and actor Chris Farley, known primarily in public references for this familial connection.
  • D. James Donlan
    James Donlan was an American character actor of the early 20th century, known for his prolific work in Hollywood films during the 1920s and 1930s.
  • E. Frank Zeidler
    Frank Zeidler was a prominent American socialist politician who served as the last Socialist mayor of a major U.S. city, leading Milwaukee, Wisconsin, from 1948 to 1960.
  • 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_69e0b4b9669c8190b8e81fc72817d42c completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a976bca4819086a4949e299159b5 completed April 20, 2026, 10:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08aceef59881908b63e33baa53b35f completed May 16, 2026, 5:44 p.m.
Created at: April 16, 2026, 11:40 a.m.