Triple

T1897636
Position Surface form Disambiguated ID Type / Status
Subject Georges Braque E37618 entity
Predicate familyName P18 FINISHED
Object Braque
Braque is the surname of Georges Braque, the influential French painter and co-founder of Cubism.
 E211759 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: Braque | Statement: [Georges Braque, familyName, Braque]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Braque
Context triple: [Georges Braque, familyName, Braque]
  • A. Mouton-Duvernet
    Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
  • B. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • C. Marans
    Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Bouvier
    Bouvier is the maiden surname of Jacqueline Kennedy Onassis, associated with a prominent American socialite and political family.
  • 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: Braque
Triple: [Georges Braque, familyName, Braque]
Generated description
Braque is the surname of Georges Braque, the influential French painter and co-founder of Cubism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Braque
Target entity description: Braque is the surname of Georges Braque, the influential French painter and co-founder of Cubism.
  • A. Mouton-Duvernet
    Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
  • B. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • C. Marans
    Marans is a French chicken breed renowned for its dark chocolate-brown eggs and dual-purpose use for both meat and egg production.
  • D. Sauvy
    Sauvy is a French surname most notably borne by Alfred Sauvy, a prominent demographer, sociologist, and economist.
  • E. Bouvier
    Bouvier is the maiden surname of Jacqueline Kennedy Onassis, associated with a prominent American socialite and political family.
  • 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_69a8861be7148190a680937ec451a304 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb170657481908662089511a8f301 completed March 7, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaee6a048190afd01ab6339a2921 completed March 8, 2026, 9:32 p.m.
NEDg Description generation batch_69adeb6f7f208190af892c3c25961438 completed March 8, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69adec28f9188190a58e1a9d792943f6 completed March 8, 2026, 9:37 p.m.
Created at: March 4, 2026, 7:35 p.m.