Triple

T16472270
Position Surface form Disambiguated ID Type / Status
Subject Dimitrov E400092 entity
Predicate hasNotableBearer P458 FINISHED
Object Mariya Dimitrova
Mariya Dimitrova is a Bulgarian triple jumper who has competed internationally, including at World Championships and Olympic Games.
E1216561 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: Mariya Dimitrova | Statement: [Dimitrov, hasNotableBearer, Mariya Dimitrova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mariya Dimitrova
Context triple: [Dimitrov, hasNotableBearer, Mariya Dimitrova]
  • A. Maria Zheleva
    Maria Zheleva was a Bulgarian intellectual and public figure best known as the wife of Bulgaria’s first democratically elected president, Zhelyu Zhelev.
  • B. Ludmila Stoyanova
    Ludmila Stoyanova is known primarily as the spouse of Bulgarian communist leader Georgi Dimitrov.
  • C. Dobrina Liubomirova
    Dobrina Liubomirova is an actress known for her role in the Mexican romantic comedy film "Sólo con tu pareja."
  • D. Elena Dimitrova
    Elena Dimitrova was the wife of Bulgarian communist leader and former Prime Minister Vulko Chervenkov.
  • E. Katerina Goseva-Popstojanova
    Katerina Goseva-Popstojanova is a computer scientist known for her research in software reliability, security, and quantitative evaluation of complex software systems.
  • 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: Mariya Dimitrova
Triple: [Dimitrov, hasNotableBearer, Mariya Dimitrova]
Generated description
Mariya Dimitrova is a Bulgarian triple jumper who has competed internationally, including at World Championships and Olympic Games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mariya Dimitrova
Target entity description: Mariya Dimitrova is a Bulgarian triple jumper who has competed internationally, including at World Championships and Olympic Games.
  • A. Maria Zheleva
    Maria Zheleva was a Bulgarian intellectual and public figure best known as the wife of Bulgaria’s first democratically elected president, Zhelyu Zhelev.
  • B. Ludmila Stoyanova
    Ludmila Stoyanova is known primarily as the spouse of Bulgarian communist leader Georgi Dimitrov.
  • C. Dobrina Liubomirova
    Dobrina Liubomirova is an actress known for her role in the Mexican romantic comedy film "Sólo con tu pareja."
  • D. Elena Dimitrova
    Elena Dimitrova was the wife of Bulgarian communist leader and former Prime Minister Vulko Chervenkov.
  • E. Katerina Goseva-Popstojanova
    Katerina Goseva-Popstojanova is a computer scientist known for her research in software reliability, security, and quantitative evaluation of complex software systems.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dd19df881909e4562a5e8473338 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00581c24508190b4888357828fed80 completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a00592562708190ae88f24fb34c7a02 completed May 10, 2026, 10:08 a.m.
NED2 Entity disambiguation (via description) batch_6a005a17fd648190b2c6843f47a9ee2c completed May 10, 2026, 10:12 a.m.
Created at: April 10, 2026, 5:11 a.m.