Triple

T5970371
Position Surface form Disambiguated ID Type / Status
Subject Jovanka Broz E132856 entity
Predicate givenName P17 FINISHED
Object Jovanka
Jovanka is a feminine given name best known for its association with Jovanka Broz, the former First Lady of Yugoslavia and wife of Josip Broz Tito.
 E559871 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: Jovanka | Statement: [Jovanka Broz, givenName, Jovanka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jovanka
Context triple: [Jovanka Broz, givenName, Jovanka]
  • A. Lucija
    Lucija is a coastal settlement and suburb of Piran in southwestern Slovenia, known as a residential and tourist area near the Adriatic Sea.
  • B. Doroteja
    Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
  • C. Vladimira
    Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
  • D. Jovan
    Jovan is a masculine given name commonly used in South Slavic regions, equivalent to "John" in English.
  • E. Olivera Despina
    Olivera Despina was a Serbian princess of the Lazarević dynasty who became an Ottoman sultana through her marriage to Sultan Bayezid I.
  • 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: Jovanka
Triple: [Jovanka Broz, givenName, Jovanka]
Generated description
Jovanka is a feminine given name best known for its association with Jovanka Broz, the former First Lady of Yugoslavia and wife of Josip Broz Tito.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jovanka
Target entity description: Jovanka is a feminine given name best known for its association with Jovanka Broz, the former First Lady of Yugoslavia and wife of Josip Broz Tito.
  • A. Lucija
    Lucija is a coastal settlement and suburb of Piran in southwestern Slovenia, known as a residential and tourist area near the Adriatic Sea.
  • B. Doroteja
    Doroteja is a feminine given name, commonly used in Slavic countries, that is a variant of the name Dorothea.
  • C. Vladimira
    Vladimira is a feminine given name, primarily used in Slavic cultures, derived from the male name Vladimir.
  • D. Jovan
    Jovan is a masculine given name commonly used in South Slavic regions, equivalent to "John" in English.
  • E. Olivera Despina
    Olivera Despina was a Serbian princess of the Lazarević dynasty who became an Ottoman sultana through her marriage to Sultan Bayezid I.
  • 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_69c0086deab081908550159ca23eec9b completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c03a4263e8819084e98e6c016c9532 completed March 22, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e40a67bc8190a57884f7c6aa1b9d completed March 23, 2026, 6:56 a.m.
NEDg Description generation batch_69c0f88f4e048190810351c4aebf363c completed March 23, 2026, 8:23 a.m.
NED2 Entity disambiguation (via description) batch_69c0f982c95c819081b2cf2c429c21bc completed March 23, 2026, 8:27 a.m.
Created at: March 22, 2026, 4:03 p.m.