Triple

T13552025
Position Surface form Disambiguated ID Type / Status
Subject President of the Chamber of Representatives (Belgium) E323670 entity
Predicate hasStyle P1609 FINISHED
Object Mister President
Mister President is the formal style of address used for the presiding officer of Belgium’s Chamber of Representatives.
E1047322 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: Mister President | Statement: [President of the Chamber of Representatives (Belgium), hasStyle, Mister President]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mister President
Context triple: [President of the Chamber of Representatives (Belgium), hasStyle, Mister President]
  • A. Mr. President
    "Mr. President" is the formal style of address used when speaking to or about the President of North Macedonia.
  • B. Mr. President
    "Mr. President" is the formal title used to address the presiding officer of the Florida Senate.
  • C. Mr. President
    "Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
  • D. Mr. President
    "Mr. President" is the formal style of address used for the head of state of Romania.
  • E. Mr. President
    Mr. President is the formal style of address used for the head of state of Bulgaria.
  • 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: Mister President
Triple: [President of the Chamber of Representatives (Belgium), hasStyle, Mister President]
Generated description
Mister President is the formal style of address used for the presiding officer of Belgium’s Chamber of Representatives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mister President
Target entity description: Mister President is the formal style of address used for the presiding officer of Belgium’s Chamber of Representatives.
  • A. Mr. President
    "Mr. President" is the formal spoken address traditionally used for the sitting President of the United States.
  • B. Mr. President
    "Mr. President" is the formal style of address used for the head of state of Romania.
  • C. Mr. President
    Mr. President is the formal style of address used for the head of state of Slovenia.
  • D. Mr. President
    Mr. President is the formal style of address used for the head of state of Bulgaria.
  • E. Mr. President
    "Mr. President" is the formal style of address used for the head of state of Austria.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff0a6548190b8cde5084cef0061 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da721208190a3f5159125dbde9a completed May 3, 2026, 2:37 p.m.
NEDg Description generation batch_69f75ec5101081909652b0c0998b36c8 completed May 3, 2026, 2:42 p.m.
NED2 Entity disambiguation (via description) batch_69f75f4a3b0c81908c0ca0351771953b completed May 3, 2026, 2:44 p.m.
Created at: April 9, 2026, 9:46 p.m.