Triple

T17751818
Position Surface form Disambiguated ID Type / Status
Subject Antanas Smetona E443130 entity
Predicate familyName P18 FINISHED
Object Smetona
Smetona is a Lithuanian surname most prominently associated with Antanas Smetona, the first President of Lithuania and a key figure in the country’s interwar independence.
 E1284789 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: Smetona | Statement: [Antanas Smetona, familyName, Smetona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Smetona
Context triple: [Antanas Smetona, familyName, Smetona]
  • A. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • B. Svete
    Svete is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
  • C. Umetić
    Umetić is a village in central Croatia, historically notable as the birthplace of Austro-Hungarian field marshal Svetozar Boroević.
  • D. Krasin
    Krasin is a historic Russian icebreaker, originally launched in the early 20th century, renowned for Arctic exploration and rescue missions.
  • E. Štimac
    Štimac is a Croatian surname most notably associated with former professional footballer and manager Igor Štimac.
  • 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: Smetona
Triple: [Antanas Smetona, familyName, Smetona]
Generated description
Smetona is a Lithuanian surname most prominently associated with Antanas Smetona, the first President of Lithuania and a key figure in the country’s interwar independence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Smetona
Target entity description: Smetona is a Lithuanian surname most prominently associated with Antanas Smetona, the first President of Lithuania and a key figure in the country’s interwar independence.
  • A. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • B. Svete
    Svete is a river in Latvia that serves as one of the tributaries feeding into the larger Lielupe River system.
  • C. Umetić
    Umetić is a village in central Croatia, historically notable as the birthplace of Austro-Hungarian field marshal Svetozar Boroević.
  • D. Krasin
    Krasin is a historic Russian icebreaker, originally launched in the early 20th century, renowned for Arctic exploration and rescue missions.
  • E. Štimac
    Štimac is a Croatian surname most notably associated with former professional footballer and manager Igor Štimac.
  • 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4841b3ccc8190b3241b3e0fa4b2e8 completed April 19, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0243067e6c8190b94113eb4785faae completed May 11, 2026, 8:58 p.m.
NEDg Description generation batch_6a0244ca6b348190a1c68dc3bf873f1d completed May 11, 2026, 9:06 p.m.
NED2 Entity disambiguation (via description) batch_6a024530b5dc8190a4776863cc01babf completed May 11, 2026, 9:08 p.m.
Created at: April 10, 2026, 10:10 a.m.