Triple

T21154788
Position Surface form Disambiguated ID Type / Status
Subject Gavrilo Princip E521283 entity
Predicate givenName P17 FINISHED
Object Gavrilo 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: Gavrilo | Statement: [Gavrilo Princip, givenName, Gavrilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gavrilo
Context triple: [Gavrilo Princip, givenName, Gavrilo]
  • A. Gavrilo chosen
    Gavrilo is a masculine given name of Slavic origin, commonly used in South Slavic countries and related to the name Gabriel.
  • B. Gavrilo Dožić
    Gavrilo Dožić was a Serbian Orthodox cleric who served as the Patriarch of the Serbian Orthodox Church during World War II.
  • C. Dragoljub
    Dragoljub is a masculine given name of Slavic origin, commonly used in Serbia and other South Slavic countries.
  • D. Pavle
    Pavle is a South Slavic male given name commonly used in countries such as Serbia, Croatia, and Montenegro, equivalent to Paul in English.
  • E. Milutin
    Milutin is a masculine given name of Slavic origin, commonly used in Serbian and other South Slavic cultures.
  • 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_69e0b50d1ea481909c07e63c3ead9316 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7252a48788190bfdfe811fc6cfc06 completed April 21, 2026, 7:20 a.m.
Created at: April 16, 2026, 2:58 p.m.