Triple

T231360
Position Surface form Disambiguated ID Type / Status
Subject United States Secretary of Health and Human Services E4416 entity
Predicate style P87 FINISHED
Object Mr. Secretary
"Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Health and Human Services.
 E29431 NE FINISHED

How this triple was built (4 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: Mr. Secretary | Statement: [United States Secretary of Health and Human Services, style, Mr. Secretary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mr. Secretary
Context triple: [United States Secretary of Health and Human Services, style, Mr. Secretary]
  • A. Mr. Secretary
    Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
  • B. Mr. Secretary
    "Mr. Secretary" is the traditional formal style of address used for the United States Secretary of the Treasury.
  • C. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Transportation.
  • D. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of State.
  • E. Mister Secretary
    Mister Secretary is a gender-reversed counterpart concept to the political drama series "Madam Secretary," imagining a male lead in a similar high-level government role.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mr. Secretary
Triple: [United States Secretary of Health and Human Services, style, Mr. Secretary]
Generated description
"Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Health and Human Services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mr. Secretary
Target entity description: "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Health and Human Services.
  • A. Mr. Secretary
    Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
  • B. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of State.
  • C. Mr. Secretary
    "Mr. Secretary" is the traditional formal style of address used for the United States Secretary of the Treasury.
  • D. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of Transportation.
  • E. Mister Secretary
    Mister Secretary is a gender-reversed counterpart concept to the political drama series "Madam Secretary," imagining a male lead in a similar high-level government role.
  • F. None of above. chosen

Provenance (5 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25cadae1c8190be0e8dcf33351187 completed Feb. 28, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69a35ea461288190bf60a31e8e8ba976 completed Feb. 28, 2026, 9:31 p.m.
NEDg Description generation batch_69a35ef7d9148190a0fad8f4bf0de77f completed Feb. 28, 2026, 9:32 p.m.
NED2 Entity disambiguation (via description) batch_69a35f55ced08190ae7c6fce098602be completed Feb. 28, 2026, 9:34 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.