Triple

T32524052
Position Surface form Disambiguated ID Type / Status
Subject Michel I Government E831260 entity
Predicate pensionsMinister P24005 FINISHED
Object Daniel Bacquelaine
Daniel Bacquelaine is a Belgian liberal politician and physician who has served as a federal minister, notably overseeing pension reforms.
 E2292951 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: Daniel Bacquelaine | Statement: [Michel I Government, pensionsMinister, Daniel Bacquelaine]
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: Daniel Bacquelaine
Triple: [Michel I Government, pensionsMinister, Daniel Bacquelaine]
Generated description
Daniel Bacquelaine is a Belgian liberal politician and physician who has served as a federal minister, notably overseeing pension reforms.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: pensionsMinister
Context triple: [Michel I Government, pensionsMinister, Daniel Bacquelaine]
  • A. ministerOfStateForEconomicAndFiscalPolicy
    Indicates that a person holds the governmental position of Minister of State responsible for economic and fiscal policy matters in relation to a country or jurisdiction.
  • B. ministerIs
    Indicates that one entity serves in the role or capacity of a minister in relation to another entity.
  • C. hasMinisterialResponsibilityFor chosen
    Indicates that one entity (typically a minister or ministry) holds official responsibility or oversight for the functions, policies, or operations of another entity.
  • D. primeMinisterProvided
    Indicates that a prime minister supplied, granted, or made available something to someone or something.
  • E. firstMinister
    Indicates that one entity serves as the first minister (head of government or chief minister) of another entity, such as a country, region, or jurisdiction.
  • 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_6a7a462a19c48190ae670af83a848fd2 completed Aug. 10, 2026, 9:44 p.m.
NEDg Description generation batch_6a7a468f53d48190b323d015163a8b1a completed Aug. 10, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_6a7a46d559c081908403be07a44fded8 completed Aug. 10, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69f6bd2a14b081908162923dfbf0a6f4 completed May 3, 2026, 3:12 a.m.
Created at: May 1, 2026, 1:01 a.m.