Triple

T10931919
Position Surface form Disambiguated ID Type / Status
Subject Marguerite Courtot E258227 entity
Predicate name P16 FINISHED
Object Marguerite Courtot E258227 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: Marguerite Courtot | Statement: [Marguerite Courtot, name, Marguerite Courtot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marguerite Courtot
Context triple: [Marguerite Courtot, name, Marguerite Courtot]
  • A. Marguerite Courtot chosen
    Marguerite Courtot was an American silent film actress known for her work in early 20th-century cinema, particularly in serials and adventure films.
  • B. Marguerite Donnadieu
    Marguerite Donnadieu, better known by her pen name Marguerite Duras, was a prominent 20th-century French novelist, playwright, and filmmaker associated with the Nouveau Roman movement.
  • C. Marguerite Gaudelet
    Marguerite Gaudelet was the wife of French civil engineer Gustave Eiffel, famed designer of the Eiffel Tower.
  • D. Marguerite De La Motte
    Marguerite De La Motte was an American silent film actress best known for her leading roles in early 1920s adventure and drama films.
  • E. Berthe Belluot
    Berthe Belluot was the wife of French statesman Félix Faure, who served as President of France in the late 19th 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770a062f481908beb76c6dbaeb6a6 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2176328448190bbce6735ec97507a completed April 17, 2026, 11:20 a.m.
Created at: April 8, 2026, 9:23 p.m.