Triple

T2225634
Position Surface form Disambiguated ID Type / Status
Subject President of Romania E48640 entity
Predicate style P87 FINISHED
Object Madam President
Madam President is the formal style of address used for a female head of state serving as President of Romania.
E248912 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 President | Statement: [President of Romania, style, Madam President]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Madam President
Context triple: [President of Romania, style, Madam President]
  • A. Madam President
    "Madam President" is the formal style of address used for a female President of the United States.
  • B. Madam Vice President
    "Madam Vice President" is the formal mode of address used for a woman serving as Vice 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. President
    "Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
  • E. Mr. President
    "Mr. President" is a formal style of address used for the President of Ecuador.
  • 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 President
Triple: [President of Romania, style, Madam President]
Generated description
Madam President is the formal style of address used for a female head of state serving as President of Romania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Madam President
Target entity description: Madam President is the formal style of address used for a female head of state serving as President of Romania.
  • A. Madam President
    "Madam President" is the formal style of address used for a female President of the United States.
  • B. Madam Vice President
    "Madam Vice President" is the formal mode of address used for a woman serving as Vice 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. President
    "Mr. President" is the formal style of address used for the head of state of the Russian Federation.
  • E. Mr. President
    "Mr. President" is a formal style of address used for the President of Ecuador.
  • 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_69a88aa51b388190949868ec9766e587 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc03ffcbc8190a27e32af831c7be5 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6afe4d1481908c6c27e889303892 completed March 9, 2026, 6:38 a.m.
NEDg Description generation batch_69ae6c4ab24881909d47076c7f6ad1d9 completed March 9, 2026, 6:44 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c9ba31081909d2c51018a66c46d completed March 9, 2026, 6:45 a.m.
Created at: March 4, 2026, 7:47 p.m.