Triple

T13264055
Position Surface form Disambiguated ID Type / Status
Subject Ludvík Vaculík E315870 entity
Predicate notableWork P4 FINISHED
Object Sekyra
Sekyra is a notable novel by Czech writer Ludvík Vaculík, recognized for its critical portrayal of life under the communist regime in Czechoslovakia.
 E1031144 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: Sekyra | Statement: [Ludvík Vaculík, notableWork, Sekyra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sekyra
Context triple: [Ludvík Vaculík, notableWork, Sekyra]
  • A. Sesma
    Sesma is a namesake associated with the Mexican municipality of Chalchicomula de Sesma in the state of Puebla.
  • B. Zelarayán
    Zelarayán is a Spanish-language surname most notably borne by Argentine-born professional footballer Lucas Zelarayán.
  • C. Requena
    Requena is a small Peruvian city in the Loreto region, known as a remote Amazonian river port and gateway to surrounding rainforest communities.
  • D. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • E. Nigrán
    Nigrán is a coastal municipality in the province of Pontevedra, in the autonomous community of Galicia in northwestern Spain.
  • 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: Sekyra
Triple: [Ludvík Vaculík, notableWork, Sekyra]
Generated description
Sekyra is a notable novel by Czech writer Ludvík Vaculík, recognized for its critical portrayal of life under the communist regime in Czechoslovakia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sekyra
Target entity description: Sekyra is a notable novel by Czech writer Ludvík Vaculík, recognized for its critical portrayal of life under the communist regime in Czechoslovakia.
  • A. Sesma
    Sesma is a namesake associated with the Mexican municipality of Chalchicomula de Sesma in the state of Puebla.
  • B. Zelarayán
    Zelarayán is a Spanish-language surname most notably borne by Argentine-born professional footballer Lucas Zelarayán.
  • C. Requena
    Requena is a small Peruvian city in the Loreto region, known as a remote Amazonian river port and gateway to surrounding rainforest communities.
  • D. Requena
    Requena is a historic inland town in Spain’s Valencian Community, known for its wine production and well-preserved medieval quarter.
  • E. Nigrán
    Nigrán is a coastal municipality in the province of Pontevedra, in the autonomous community of Galicia in northwestern Spain.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901c65048190bd8b3c4872f22520 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4ad79c8190b1304942dc48c0ff completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70b37ebe081909ed2ae0f42ccad2d completed May 3, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69f70ca343f08190b6484f464ed40810 completed May 3, 2026, 8:51 a.m.
Created at: April 9, 2026, 9:25 p.m.