Triple

T6700443
Position Surface form Disambiguated ID Type / Status
Subject Mason Verger E152864 entity
Predicate abuses P20070 FINISHED
Object Margot Verger E624742 NE FINISHED

How this triple was built (2 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: Margot Verger | Statement: [Mason Verger, abuses, Margot Verger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margot Verger
Context triple: [Mason Verger, abuses, Margot Verger]
  • A. Margot Verger chosen
    Margot Verger is a character in Thomas Harris's Hannibal universe, depicted as the abused, bodybuilding sister of sadistic millionaire Mason Verger.
  • B. Marguerite Gaudelet
    Marguerite Gaudelet was the wife of French civil engineer Gustave Eiffel, famed designer of the Eiffel Tower.
  • C. Marguerite Durand
    Marguerite Durand was a pioneering French journalist, actress, and leading feminist who founded the influential newspaper La Fronde and helped advance the women’s rights movement in France at the turn of the 20th century.
  • D. Jacqueline de Croisset
    Jacqueline de Croisset was the wife of Russian-born American actor Yul Brynner, known primarily for her marriage to the Oscar-winning star of "The King and I."
  • E. Yvette Giraud
    Yvette Giraud was a French traditional pop singer known for her romantic chansons and popularity in both France and Japan in the mid-20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c748994250819092ba9bf4fd3f5b90 completed March 28, 2026, 3:18 a.m.
Created at: March 27, 2026, 2:05 p.m.