Triple

T20451317
Position Surface form Disambiguated ID Type / Status
Subject Administrator of the Federal Security Agency E501655 entity
Predicate supersededByOffice P24112 FINISHED
Object United States Secretary of Health, Education, and Welfare NE NERFINISHED

How this triple was built (3 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: United States Secretary of Health, Education, and Welfare | Statement: [Administrator of the Federal Security Agency, supersededByOffice, United States Secretary of Health, Education, and Welfare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: United States Secretary of Health, Education, and Welfare
Context triple: [Administrator of the Federal Security Agency, supersededByOffice, United States Secretary of Health, Education, and Welfare]
  • A. Under Secretary of Health, Education, and Welfare
    The Under Secretary of Health, Education, and Welfare was a senior U.S. federal government official responsible for helping oversee national policies and programs in public health, education, and social welfare under the former Department of Health, Education, and Welfare.
  • B. Assistant Secretary for Legislation of Health, Education, and Welfare
    The Assistant Secretary for Legislation of Health, Education, and Welfare was a senior U.S. federal government official responsible for developing and coordinating the Department of Health, Education, and Welfare’s legislative agenda and relations with Congress.
  • C. Special Assistant to the President for the War on Poverty
    The Special Assistant to the President for the War on Poverty was a senior White House advisor responsible for leading and coordinating federal anti-poverty initiatives during the 1960s War on Poverty era.
  • D. United States Secretary of Health and Human Services chosen
    The United States Secretary of Health and Human Services is the Cabinet-level official who leads the Department of Health and Human Services, overseeing national public health, welfare, and health policy programs.
  • E. United States Food Administrator
    The United States Food Administrator was the federal wartime office responsible for managing and conserving the nation’s food supply during World War I, including overseeing production, distribution, and voluntary rationing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supersededByOffice
Context triple: [Administrator of the Federal Security Agency, supersededByOffice, United States Secretary of Health, Education, and Welfare]
  • A. replacesOffice
    Indicates that one office takes over the role, function, or position previously held by another office.
  • B. wasSupersededBy
    Indicates that one entity has been replaced or made obsolete by another entity that takes over its role or function.
  • C. replacedOffice chosen
    Indicates that one office or position has been succeeded or taken over by another, replacing it in its former role or function.
  • D. replacedInOffice
    Indicates that one officeholder succeeded and took over the official position previously held by another.
  • E. recognizedAsOfficeSince
    Indicates that an entity has been officially designated or acknowledged as an office starting from a specific point in time.
  • F. None of above.

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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68d0296ac819081e74c67d3cc6349 completed April 20, 2026, 8:30 p.m.
PD Predicate disambiguation batch_69e57679eb40819086142df3e39c928e completed April 20, 2026, 12:42 a.m.
Created at: April 16, 2026, 11:32 a.m.