Triple

T5166154
Position Surface form Disambiguated ID Type / Status
Subject Bela Lugosi E116562 entity
Predicate placeOfBirth P1 FINISHED
Object Lugos
Lugos is a town in present-day Romania, historically part of the Austro-Hungarian Empire, known as the birthplace of actor Bela Lugosi.
 E500225 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: Lugos | Statement: [Bela Lugosi, placeOfBirth, Lugos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lugos
Context triple: [Bela Lugosi, placeOfBirth, Lugos]
  • A. Luga
    Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
  • B. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • C. Lugo
    Lugo is a historic city in northwestern Spain known for its remarkably well-preserved Roman walls, a UNESCO World Heritage Site.
  • D. Diass
    Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
  • E. Liozna
    Liozna is a small settlement in present-day Belarus historically known as the birthplace of the artist Marc Chagall.
  • 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: Lugos
Triple: [Bela Lugosi, placeOfBirth, Lugos]
Generated description
Lugos is a town in present-day Romania, historically part of the Austro-Hungarian Empire, known as the birthplace of actor Bela Lugosi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lugos
Target entity description: Lugos is a town in present-day Romania, historically part of the Austro-Hungarian Empire, known as the birthplace of actor Bela Lugosi.
  • A. Luga
    Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
  • B. Lübars
    Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
  • C. Lugo
    Lugo is a historic city in northwestern Spain known for its remarkably well-preserved Roman walls, a UNESCO World Heritage Site.
  • D. Diass
    Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
  • E. Liozna
    Liozna is a small settlement in present-day Belarus historically known as the birthplace of the artist Marc Chagall.
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd792af4648190934cf2db523f6921 completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed93b85188190927d448e09a46425 completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69bedbd301088190908d050425c6cda7 completed March 21, 2026, 5:56 p.m.
NED2 Entity disambiguation (via description) batch_69bedc65fcdc8190bc99c0d049e4dd94 completed March 21, 2026, 5:59 p.m.
Created at: March 20, 2026, 1:44 p.m.