Triple

T12512498
Position Surface form Disambiguated ID Type / Status
Subject Rumen Radev E299114 entity
Predicate givenName P17 FINISHED
Object Rumen
Rumen is a masculine given name commonly used in Bulgaria and other Slavic countries.
E997654 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: Rumen | Statement: [Rumen Radev, givenName, Rumen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rumen
Context triple: [Rumen Radev, givenName, Rumen]
  • A. Evra
    Evra is a French former professional footballer best known for his successful career as a left-back with Manchester United and the French national team.
  • B. Romania
    Romania is a southeastern European country known for its role in World War II, its Carpathian mountain landscapes, and its historical regions such as Transylvania.
  • C. Bulga
    Bulga is a rural locality in the Singleton Shire of New South Wales, Australia, known for its agricultural landscape and proximity to the Hunter Valley region.
  • D. Rajsko
    Rajsko is a village in southern Poland located in the administrative district of Gmina Oświęcim in Lesser Poland Voivodeship.
  • E. Czarna Górna
    Czarna Górna is a village in southeastern Poland located within the administrative district of Gmina Rymanów in the Subcarpathian region.
  • 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: Rumen
Triple: [Rumen Radev, givenName, Rumen]
Generated description
Rumen is a masculine given name commonly used in Bulgaria and other Slavic countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rumen
Target entity description: Rumen is a masculine given name commonly used in Bulgaria and other Slavic countries.
  • A. Evra
    Evra is a French former professional footballer best known for his successful career as a left-back with Manchester United and the French national team.
  • B. Romania
    Romania is a southeastern European country known for its role in World War II, its Carpathian mountain landscapes, and its historical regions such as Transylvania.
  • C. Bulga
    Bulga is a rural locality in the Singleton Shire of New South Wales, Australia, known for its agricultural landscape and proximity to the Hunter Valley region.
  • D. Rajsko
    Rajsko is a village in southern Poland located in the administrative district of Gmina Oświęcim in Lesser Poland Voivodeship.
  • E. Czarna Górna
    Czarna Górna is a village in southeastern Poland located within the administrative district of Gmina Rymanów in the Subcarpathian region.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541d6e508190a4992f328e077467 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6718ad25c8190b4d0d51d48c070dd completed May 2, 2026, 9:50 p.m.
NEDg Description generation batch_69f67285019c8190be831d3f72cf121f completed May 2, 2026, 9:54 p.m.
NED2 Entity disambiguation (via description) batch_69f6732ea7408190a95f0a5f983dfdb7 completed May 2, 2026, 9:57 p.m.
Created at: April 8, 2026, 9:57 p.m.