Triple

T4091443
Position Surface form Disambiguated ID Type / Status
Subject Jovan Cvijić E87712 entity
Predicate givenName P17 FINISHED
Object Jovan
Jovan is a masculine given name commonly used in South Slavic regions, equivalent to "John" in English.
E413103 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: Jovan | Statement: [Jovan Cvijić, givenName, Jovan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jovan
Context triple: [Jovan Cvijić, givenName, Jovan]
  • A. Aleksandar
    Aleksandar is a masculine given name commonly used in Slavic countries, equivalent to Alexander.
  • B. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • C. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • D. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • E. Rastko
    Rastko, later known as Saint Sava, was a medieval Serbian prince who became a monk and is revered as the founder of the Serbian Orthodox Church and a key figure in Serbian medieval culture and education.
  • 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: Jovan
Triple: [Jovan Cvijić, givenName, Jovan]
Generated description
Jovan is a masculine given name commonly used in South Slavic regions, equivalent to "John" in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jovan
Target entity description: Jovan is a masculine given name commonly used in South Slavic regions, equivalent to "John" in English.
  • A. Aleksandar
    Aleksandar is a masculine given name commonly used in Slavic countries, equivalent to Alexander.
  • B. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • C. Mihajlo
    Mihajlo is the Serbian given name of Michael I. Pupin, the renowned Serbian-American physicist, inventor, and Columbia University professor.
  • D. Petar
    Petar is a given name commonly used in Slavic countries, equivalent to the English name Peter.
  • E. Rastko
    Rastko, later known as Saint Sava, was a medieval Serbian prince who became a monk and is revered as the founder of the Serbian Orthodox Church and a key figure in Serbian medieval culture and education.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcac77788190a5e934fe7c46a1fa completed March 9, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b69a7908190a53839f7ebfd011c completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56c29c72081909e6ef890dde593dd completed March 14, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69b56ca671d0819097760161832998b0 completed March 14, 2026, 2:11 p.m.
Created at: March 9, 2026, 3:39 p.m.