Triple

T43746
Position Surface form Disambiguated ID Type / Status
Subject United States Secretary of State E860 entity
Predicate style P87 FINISHED
Object Madam Secretary
"Madam Secretary" is the formal honorific used to address a woman serving as the United States Secretary of State.
E8474 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: Madam Secretary | Statement: [United States Secretary of State, style, Madam Secretary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madam Secretary
Context triple: [United States Secretary of State, style, Madam Secretary]
  • A. Madam Secretary
    "Madam Secretary" is the formal style of address used when speaking to or about a female United States Secretary of the Army.
  • B. Madam President
    "Madam President" is the formal style of address used for a female President of the United States.
  • C. Madam Speaker
    "Madam Speaker" is the formal mode of address used for a woman serving as Speaker of the United States House of Representatives.
  • D. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of State.
  • E. Mr. Secretary
    Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
  • 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: Madam Secretary
Triple: [United States Secretary of State, style, Madam Secretary]
Generated description
"Madam Secretary" is the formal honorific used to address a woman serving as the United States Secretary of State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Madam Secretary
Target entity description: "Madam Secretary" is the formal honorific used to address a woman serving as the United States Secretary of State.
  • A. Madam Secretary
    "Madam Secretary" is the formal style of address used when speaking to or about a female United States Secretary of the Army.
  • B. Madam President
    "Madam President" is the formal style of address used for a female President of the United States.
  • C. Madam Speaker
    "Madam Speaker" is the formal mode of address used for a woman serving as Speaker of the United States House of Representatives.
  • D. Mr. Secretary
    "Mr. Secretary" is the formal style of address traditionally used for the United States Secretary of State.
  • E. Mr. Secretary
    Mr. Secretary is the formal style of address traditionally used for the United States Secretary of Defense.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24ae36824819080e8336a3c9f9bf8 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2623cc3648190b2d86352406125e9 completed Feb. 28, 2026, 3:34 a.m.
NEDg Description generation batch_69a262ef9e44819094790f68d3862c5a completed Feb. 28, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_69a2634b24d08190b4869d235516c2ab completed Feb. 28, 2026, 3:38 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.