Triple

T17584901
Position Surface form Disambiguated ID Type / Status
Subject Oddone Colonna E428296 entity
Predicate papalName P744 FINISHED
Object Martin V 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: Martin V | Statement: [Oddone Colonna, papalName, Martin V]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martin V
Context triple: [Oddone Colonna, papalName, Martin V]
  • A. Martin V chosen
    Martin V was the pope whose election in 1417 effectively ended the Western Schism and restored a single papal line to the Catholic Church.
  • B. Johann von Böhmen
    Johann von Böhmen, better known as John of Bohemia, was a 14th-century King of Bohemia and Count of Luxembourg renowned for his chivalric reputation and death at the Battle of Crécy.
  • C. Oldřich Kaiser
    Oldřich Kaiser is a Czech actor known for his work in film, television, and theater, particularly for his comedic roles and collaborations in popular Czech productions.
  • D. Gustáv
    Gustáv is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • E. Albrecht
    Albrecht is a Germanic given name, historically borne by various nobles, artists, and scholars in German-speaking Europe.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d113b08190975506f3558c1eca completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.