Triple

T19650262
Position Surface form Disambiguated ID Type / Status
Subject Adolphe Billault E471794 entity
Predicate familyName P18 FINISHED
Object Billault
Billault is a French surname most notably associated with 19th-century politician Adolphe Billault.
E1388733 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: Billault | Statement: [Adolphe Billault, familyName, Billault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Billault
Context triple: [Adolphe Billault, familyName, Billault]
  • A. Bidault
    Bidault is a French surname most notably associated with Georges Bidault, a prominent mid-20th-century French politician and statesman.
  • B. Bollaert
    Bollaert is the commonly used nickname for Stade Bollaert-Delelis, the historic football stadium in Lens, France.
  • C. Gillet
    Gillet is a surname and variant spelling of "Gillett," borne by various individuals and families, particularly in French- and English-speaking regions.
  • D. Boulger
    Boulger is a surname, likely a variant spelling of Bulger, borne by various individuals of Irish or British origin.
  • E. Belasyse
    Belasyse is an English noble family name historically associated with aristocratic titles such as the Earls Fauconberg.
  • 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: Billault
Triple: [Adolphe Billault, familyName, Billault]
Generated description
Billault is a French surname most notably associated with 19th-century politician Adolphe Billault.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Billault
Target entity description: Billault is a French surname most notably associated with 19th-century politician Adolphe Billault.
  • A. Bidault
    Bidault is a French surname most notably associated with Georges Bidault, a prominent mid-20th-century French politician and statesman.
  • B. Bollaert
    Bollaert is the commonly used nickname for Stade Bollaert-Delelis, the historic football stadium in Lens, France.
  • C. Gillet
    Gillet is a surname and variant spelling of "Gillett," borne by various individuals and families, particularly in French- and English-speaking regions.
  • D. Boulger
    Boulger is a surname, likely a variant spelling of Bulger, borne by various individuals of Irish or British origin.
  • E. Belasyse
    Belasyse is an English noble family name historically associated with aristocratic titles such as the Earls Fauconberg.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641286bbc8190886f309de13063bf completed April 20, 2026, 3:07 p.m.
NED1 Entity disambiguation (via context triple) batch_6a077eef87108190a3858836dce29341 completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a077fb5d7288190a691e312ec22789b completed May 15, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_6a07810b1de88190a2516712767fde52 completed May 15, 2026, 8:24 p.m.
Created at: April 10, 2026, 1:44 p.m.