Triple

T12383992
Position Surface form Disambiguated ID Type / Status
Subject Pavel Suzor E295813 entity
Predicate familyName P18 FINISHED
Object Suzor
Suzor is a Russian surname most notably borne by architect Pavel Suzor, known for his contributions to late 19th-century St. Petersburg architecture.
 E979106 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: Suzor | Statement: [Pavel Suzor, familyName, Suzor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Suzor
Context triple: [Pavel Suzor, familyName, Suzor]
  • A. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • B. Gautreau
    Gautreau is the surname of Virginie Amélie Avegno Gautreau, the New Orleans–born socialite best known as the subject of John Singer Sargent’s famous painting "Portrait of Madame X."
  • C. Souletin
    Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
  • D. Sauvo
    Sauvo is a small rural municipality in southwestern Finland known for its scenic countryside, agriculture, and historic churches.
  • E. Sulien
    Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
  • 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: Suzor
Triple: [Pavel Suzor, familyName, Suzor]
Generated description
Suzor is a Russian surname most notably borne by architect Pavel Suzor, known for his contributions to late 19th-century St. Petersburg architecture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Suzor
Target entity description: Suzor is a Russian surname most notably borne by architect Pavel Suzor, known for his contributions to late 19th-century St. Petersburg architecture.
  • A. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • B. Gautreau
    Gautreau is the surname of Virginie Amélie Avegno Gautreau, the New Orleans–born socialite best known as the subject of John Singer Sargent’s famous painting "Portrait of Madame X."
  • C. Souletin
    Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
  • D. Sauvo
    Sauvo is a small rural municipality in southwestern Finland known for its scenic countryside, agriculture, and historic churches.
  • E. Sulien
    Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbc3f608190b0ee3c4f304a94db completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac78c5c81909fb3d63bc6c9cc01 completed May 2, 2026, 4:48 p.m.
NEDg Description generation batch_69f62be4de888190aac94d441748d295 completed May 2, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_69f62d51ab8081909c6f534051019dca completed May 2, 2026, 4:58 p.m.
Created at: April 8, 2026, 9:54 p.m.