Triple

T32524090

Position	Surface form	Disambiguated ID	Type / Status
Subject	COVID-19 pandemic in Belgium	`E831261`	entity
Predicate	mainDecisionMakers	`P73913`	FINISHED
Object	Prime Minister Sophie Wilmès Sophie Wilmès is a Belgian politician who served as the country’s first female prime minister and led Belgium through the initial phase of the COVID-19 pandemic.	`E2010233`	NE FINISHED

How this triple was built (3 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: Prime Minister Sophie Wilmès | Statement: [COVID-19 pandemic in Belgium, mainDecisionMakers, Prime Minister Sophie Wilmès]

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: Prime Minister Sophie Wilmès
Triple: [COVID-19 pandemic in Belgium, mainDecisionMakers, Prime Minister Sophie Wilmès]

Generated description

Sophie Wilmès is a Belgian politician who served as the country’s first female prime minister and led Belgium through the initial phase of the COVID-19 pandemic.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: mainDecisionMakers
Context triple: [COVID-19 pandemic in Belgium, mainDecisionMakers, Prime Minister Sophie Wilmès]

A. primaryPeople
Indicates that the referenced people are the main or most important individuals associated with a given entity, event, or context.
B. mainLeaders
Indicates that the referenced entities serve as the primary or most important leaders within a group, organization, or context.
C. decisionsTakenBy chosen
Indicates that one or more decisions are made or taken by a specified agent or entity.
D. primaryStakeholder
Indicates that an entity is the main party with the greatest interest, responsibility, or influence in relation to another entity, project, or decision.
E. principalInterlocutor
Indicates that one entity serves as the main or primary conversational partner or speaker in an interaction with another entity.
F. None of above.

Provenance (6 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_69f34923e1548190be0524205d8cdf8f`	completed	April 30, 2026, 12:20 p.m.
NER	Named-entity recognition	`batch_69f6c516640c81909fce8dc8240a00a9`	completed	May 3, 2026, 3:46 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a34706b720c8190b3ac48288b2c320c`	completed	June 18, 2026, 10:25 p.m.
NEDg	Description generation	`batch_6a3470ebf37c81909ae53e9488a16878`	completed	June 18, 2026, 10:27 p.m.
NED2	Entity disambiguation (via description)	`batch_6a34714da9c481908ef8aec2f25b5024`	completed	June 18, 2026, 10:29 p.m.
PD	Predicate disambiguation	`batch_69f6bd2a14b081908162923dfbf0a6f4`	completed	May 3, 2026, 3:12 a.m.

Created at: May 1, 2026, 1:01 a.m.