Triple

T6700441
Position Surface form Disambiguated ID Type / Status
Subject Mason Verger E152864 entity
Predicate familyName P18 FINISHED
Object Verger
Verger is a surname most notably associated with Mason Verger, a wealthy and sadistic antagonist in Thomas Harris’s Hannibal Lecter series.
 E612025 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: Verger | Statement: [Mason Verger, familyName, Verger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Verger
Context triple: [Mason Verger, familyName, Verger]
  • A. Cassis
    Cassis is a picturesque Mediterranean coastal town in southern France, renowned for its dramatic limestone cliffs, calanques, and white and rosé wines.
  • B. Parmys
    Parmys was an Achaemenid Persian noblewoman and princess, known as a granddaughter of Cyrus the Great and a queen consort during the reign of Darius I.
  • C. Marguerittes
    Marguerittes is a commune in southern France located in the Gard department in the Occitanie region.
  • D. Confignon
    Confignon is a small municipality in the canton of Geneva in southwestern Switzerland, known for its residential character and proximity to the city of Geneva.
  • E. Rhoose
    Rhoose is a coastal village in the Vale of Glamorgan in South Wales, known for its proximity to Cardiff Airport and views over the Bristol Channel.
  • 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: Verger
Triple: [Mason Verger, familyName, Verger]
Generated description
Verger is a surname most notably associated with Mason Verger, a wealthy and sadistic antagonist in Thomas Harris’s Hannibal Lecter series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Verger
Target entity description: Verger is a surname most notably associated with Mason Verger, a wealthy and sadistic antagonist in Thomas Harris’s Hannibal Lecter series.
  • A. Cassis
    Cassis is a picturesque Mediterranean coastal town in southern France, renowned for its dramatic limestone cliffs, calanques, and white and rosé wines.
  • B. Parmys
    Parmys was an Achaemenid Persian noblewoman and princess, known as a granddaughter of Cyrus the Great and a queen consort during the reign of Darius I.
  • C. Marguerittes
    Marguerittes is a commune in southern France located in the Gard department in the Occitanie region.
  • D. Confignon
    Confignon is a small municipality in the canton of Geneva in southwestern Switzerland, known for its residential character and proximity to the city of Geneva.
  • E. Rhoose
    Rhoose is a coastal village in the Vale of Glamorgan in South Wales, known for its proximity to Cardiff Airport and views over the Bristol Channel.
  • 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_69c68807adbc8190b8632df42b39eda0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d0e4a1848190997520ddd7808cc6 completed March 27, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6f7c127288190a9917f482217a8df completed March 27, 2026, 9:33 p.m.
NEDg Description generation batch_69c6f84621988190a3502dff9ee6296d completed March 27, 2026, 9:36 p.m.
NED2 Entity disambiguation (via description) batch_69c6f8f694f48190a6bb380b0ca583bf completed March 27, 2026, 9:39 p.m.
Created at: March 27, 2026, 2:05 p.m.