Triple

T4966656
Position Surface form Disambiguated ID Type / Status
Subject President of the Chamber of Deputies E111542 entity
Predicate style P87 FINISHED
Object Mr. President
"Mr. President" is the formal style of address used for the presiding officer of the Chamber of Deputies.
E483196 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. President | Statement: [President of the Chamber of Deputies, style, Mr. President]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr. President
Context triple: [President of the Chamber of Deputies, style, Mr. President]
  • 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 presiding officer of the Massachusetts Senate.
  • C. Mr. President
    "Mr. President" is the formal style of address used for the head of state of the Russian Federation.
  • 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
  • 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. President
Triple: [President of the Chamber of Deputies, style, Mr. President]
Generated description
"Mr. President" is the formal style of address used for the presiding officer of the Chamber of Deputies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mr. President
Target entity description: "Mr. President" is the formal style of address used for the presiding officer of the Chamber of Deputies.
  • 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 presiding officer of the Massachusetts Senate.
  • C. Mr. President
    "Mr. President" is a formal style of address used for the President of Ecuador.
  • 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 the formal style of address used for the head of state of Romania.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71f7ae388190b752770bf577906f completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81f13988819097dcd5a65cb1f502 completed March 21, 2026, 11:33 a.m.
NEDg Description generation batch_69be83b10e048190889289ac2ca9f07f completed March 21, 2026, 11:40 a.m.
NED2 Entity disambiguation (via description) batch_69be843e2e50819099b2b73498c7c16e completed March 21, 2026, 11:42 a.m.
Created at: March 20, 2026, 1:32 p.m.