Triple

T21681707
Position Surface form Disambiguated ID Type / Status
Subject The Inspector General (1949 film) E535122 entity
Predicate leadCharacter P1668 FINISHED
Object Georgi NE NERFINISHED

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: Georgi | Statement: [The Inspector General (1949 film), leadCharacter, Georgi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Georgi
Context triple: [The Inspector General (1949 film), leadCharacter, Georgi]
  • A. Georgi chosen
    Georgi is a common Bulgarian male given name, widely used across Slavic countries and derived from the Greek name Georgios.
  • B. Georgy Georgiu
    Georgy Georgiu is an actor known for his role in the Soviet adventure-comedy film "Gentlemen of Fortune."
  • C. Georgy Ivanov
    Georgy Ivanov was a prominent Russian poet and literary critic associated with early 20th-century avant-garde and émigré literature.
  • D. Georgi Skalon
    Georgi Skalon was a Russian general and statesman who served as a high-ranking imperial administrator in the Kingdom of Poland during the late 19th and early 20th centuries.
  • E. Georgii
    Georgii is a masculine given name, commonly used in Slavic countries as a variant of George.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96c69990819088a1134ecea09099 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:43 p.m.