Triple

T19693982
Position Surface form Disambiguated ID Type / Status
Subject Francis Barraud E472905 entity
Predicate familyName P18 FINISHED
Object Barraud
Barraud is an English surname borne by several notable figures, including artists and photographers, particularly associated with late 19th- and early 20th-century Britain.
 E1390746 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: Barraud | Statement: [Francis Barraud, familyName, Barraud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Barraud
Context triple: [Francis Barraud, familyName, Barraud]
  • A. Bezannes
    Bezannes is a commune in northeastern France near Reims, known for hosting the Champagne-Ardenne TGV high-speed railway station.
  • B. Lugrin
    Lugrin is a commune in eastern France on the southern shore of Lake Geneva, known historically as one of the sites where the Évian Accords negotiations took place.
  • C. Noailles
    Noailles is a prominent French noble family name historically associated with influential aristocrats, military leaders, and statesmen.
  • D. Noailles
    Noailles is a renowned art district in Croix-des-Bouquets, Haiti, famous for its vibrant community of metal sculptors and artisans.
  • E. Courcier
    Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
  • 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: Barraud
Triple: [Francis Barraud, familyName, Barraud]
Generated description
Barraud is an English surname borne by several notable figures, including artists and photographers, particularly associated with late 19th- and early 20th-century Britain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Barraud
Target entity description: Barraud is an English surname borne by several notable figures, including artists and photographers, particularly associated with late 19th- and early 20th-century Britain.
  • A. Bezannes
    Bezannes is a commune in northeastern France near Reims, known for hosting the Champagne-Ardenne TGV high-speed railway station.
  • B. Lugrin
    Lugrin is a commune in eastern France on the southern shore of Lake Geneva, known historically as one of the sites where the Évian Accords negotiations took place.
  • C. Noailles
    Noailles is a prominent French noble family name historically associated with influential aristocrats, military leaders, and statesmen.
  • D. Noailles
    Noailles is a renowned art district in Croix-des-Bouquets, Haiti, famous for its vibrant community of metal sculptors and artisans.
  • E. Courcier
    Courcier was a French publishing house known for issuing important mathematical and scientific works in the early 19th century.
  • 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6421385e88190b22b12ab3d851dea completed April 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07ab909910819082efea55b128d8d4 completed May 15, 2026, 11:26 p.m.
NEDg Description generation batch_6a07ac32e6e08190bc4ec2b52adf2f6b completed May 15, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_6a07accedd6c81908f97a6d742e3f60a completed May 15, 2026, 11:31 p.m.
Created at: April 10, 2026, 1:46 p.m.