Triple

T4413558
Position Surface form Disambiguated ID Type / Status
Subject Saeima E94908 entity
Predicate presidingOfficerTitle P377 FINISHED
Object Speaker
The Speaker is the presiding officer and principal representative of the Saeima, Latvia’s national parliament.
 E436966 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: Speaker | Statement: [Saeima, presidingOfficerTitle, Speaker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Speaker
Context triple: [Saeima, presidingOfficerTitle, Speaker]
  • A. Persons
    Persons is the family name of Truman Streckfus Persons, better known as the American writer Truman Capote.
  • B. Hal Singer
    Hal Singer was an American jazz and R&B saxophonist and bandleader known for his influential work in the mid-20th century music scene.
  • C. Melissa Parmenter
    Melissa Parmenter is a British composer and producer known for her film scores and frequent collaborations with director Michael Winterbottom.
  • D. Sam Spence
    Sam Spence was an American composer best known for his dramatic, orchestral music scores that defined the sound of NFL highlight films and sports broadcasting in the 1960s and 1970s.
  • E. Katherine Spiegel
    Katherine Spiegel was the wife of prominent American film director and producer Mervyn LeRoy.
  • 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: Speaker
Triple: [Saeima, presidingOfficerTitle, Speaker]
Generated description
The Speaker is the presiding officer and principal representative of the Saeima, Latvia’s national parliament.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Speaker
Target entity description: The Speaker is the presiding officer and principal representative of the Saeima, Latvia’s national parliament.
  • A. Persons
    Persons is the family name of Truman Streckfus Persons, better known as the American writer Truman Capote.
  • B. Hal Singer
    Hal Singer was an American jazz and R&B saxophonist and bandleader known for his influential work in the mid-20th century music scene.
  • C. Melissa Parmenter
    Melissa Parmenter is a British composer and producer known for her film scores and frequent collaborations with director Michael Winterbottom.
  • D. Sam Spence
    Sam Spence was an American composer best known for his dramatic, orchestral music scores that defined the sound of NFL highlight films and sports broadcasting in the 1960s and 1970s.
  • E. Katherine Spiegel
    Katherine Spiegel was the wife of prominent American film director and producer Mervyn LeRoy.
  • 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_69b34539638c8190abfea3eb29425210 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b354e7b30c819082ee781dd202dcc4 completed March 13, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f617012481908b8f1a9a1bc5efaf completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f674c94c81908327336dd4380d2e completed March 14, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5f719d008819090a35e3597a0089f completed March 15, 2026, 12:02 a.m.
Created at: March 12, 2026, 11:29 p.m.