Triple

T14094584
Position Surface form Disambiguated ID Type / Status
Subject Nina Moglina E339219 entity
Predicate familyName P18 FINISHED
Object Moglina
Moglina is a Slavic-origin surname, most notably borne by individuals such as Nina Moglina.
 E1079362 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: Moglina | Statement: [Nina Moglina, familyName, Moglina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moglina
Context triple: [Nina Moglina, familyName, Moglina]
  • A. Mumlava
    Mumlava is a river in the Krkonoše (Giant) Mountains of the Czech Republic, known for its scenic waterfalls and gorges near the town of Harrachov.
  • B. Vishkanya
    Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
  • C. Jalesar
    Jalesar is a town in the Braj cultural region of northern India, known for its traditional brassware and temple heritage.
  • D. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • E. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • 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: Moglina
Triple: [Nina Moglina, familyName, Moglina]
Generated description
Moglina is a Slavic-origin surname, most notably borne by individuals such as Nina Moglina.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moglina
Target entity description: Moglina is a Slavic-origin surname, most notably borne by individuals such as Nina Moglina.
  • A. Mumlava
    Mumlava is a river in the Krkonoše (Giant) Mountains of the Czech Republic, known for its scenic waterfalls and gorges near the town of Harrachov.
  • B. Vishkanya
    Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
  • C. Jalesar
    Jalesar is a town in the Braj cultural region of northern India, known for its traditional brassware and temple heritage.
  • D. Lučina
    Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
  • E. Morača
    Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5fb7fb3c819083266dbe7e93aaff completed April 14, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0ac02488190b2114eb63ec604c3 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd21a2a408190ab335e99fcbbd9ae completed May 7, 2026, 5:55 p.m.
NED2 Entity disambiguation (via description) batch_69fcd2e1b2ec81909caab1bfc6394258 completed May 7, 2026, 5:58 p.m.
Created at: April 9, 2026, 10:22 p.m.