Triple

T3866472
Position Surface form Disambiguated ID Type / Status
Subject Gavril E91867 entity
Predicate hasShortForm P43 FINISHED
Object Gavrilo
Gavrilo is a masculine given name of Slavic origin, commonly used in South Slavic countries and related to the name Gabriel.
E395977 NE FINISHED

How this triple was built (4 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: [Gavril, hasShortForm, Gavrilo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gavrilo
Context triple: [Gavril, hasShortForm, Gavrilo]
  • A. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • B. Ivan Sratsimir
    Ivan Sratsimir was a 14th-century Bulgarian tsar who ruled the Vidin-based western part of the fragmented Second Bulgarian Empire during its final decades before Ottoman conquest.
  • C. Aleksandar
    Aleksandar is a masculine given name commonly used in Slavic countries, equivalent to Alexander.
  • D. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • E. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gavrilo
Triple: [Gavril, hasShortForm, Gavrilo]
Generated description
Gavrilo is a masculine given name of Slavic origin, commonly used in South Slavic countries and related to the name Gabriel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gavrilo
Target entity description: Gavrilo is a masculine given name of Slavic origin, commonly used in South Slavic countries and related to the name Gabriel.
  • A. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • B. Ivan Sratsimir
    Ivan Sratsimir was a 14th-century Bulgarian tsar who ruled the Vidin-based western part of the fragmented Second Bulgarian Empire during its final decades before Ottoman conquest.
  • C. Aleksandar
    Aleksandar is a masculine given name commonly used in Slavic countries, equivalent to Alexander.
  • D. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • E. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • F. None of above. chosen

Provenance (5 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3b8d988190b56d42ac1521e19c completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512410f38819089adccf0a476dd8f completed March 14, 2026, 7:46 a.m.
NEDg Description generation batch_69b512f3504c8190be940148a4f726e9 completed March 14, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69b5172b369c8190956d7c54943225cd completed March 14, 2026, 8:07 a.m.
Created at: March 9, 2026, 3:19 p.m.