Triple

T14837463
Position Surface form Disambiguated ID Type / Status
Subject Linas Kleiza E348868 entity
Predicate givenName P17 FINISHED
Object Linas
Linas is a masculine given name commonly used in Lithuania, often associated with notable Lithuanian figures such as athletes and artists.
 E1121779 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: Linas | Statement: [Linas Kleiza, givenName, Linas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Linas
Context triple: [Linas Kleiza, givenName, Linas]
  • A. Linas
    Linas is a commune in the southern suburbs of Paris, located in the Essonne department of the Île-de-France region in northern France.
  • B. Petras
    Petras is an important Minoan archaeological site near Sitia on the island of Crete, known for its palace complex and rich Bronze Age remains.
  • C. Narimantas
    Narimantas was a 14th-century Lithuanian prince from the Gediminid dynasty, known as one of the sons of Grand Duke Gediminas and a participant in the political and military affairs of the Grand Duchy of Lithuania.
  • D. Lubartas
    Lubartas is a masculine given name, likely of Lithuanian origin, associated with the historical figure Lubart, a medieval ruler of Volhynia.
  • E. Mikelis
    Mikelis is a given name, primarily used in Latvia, that serves as a local variant of the name Michael.
  • 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: Linas
Triple: [Linas Kleiza, givenName, Linas]
Generated description
Linas is a masculine given name commonly used in Lithuania, often associated with notable Lithuanian figures such as athletes and artists.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Linas
Target entity description: Linas is a masculine given name commonly used in Lithuania, often associated with notable Lithuanian figures such as athletes and artists.
  • A. Linas
    Linas is a commune in the southern suburbs of Paris, located in the Essonne department of the Île-de-France region in northern France.
  • B. Petras
    Petras is an important Minoan archaeological site near Sitia on the island of Crete, known for its palace complex and rich Bronze Age remains.
  • C. Narimantas
    Narimantas was a 14th-century Lithuanian prince from the Gediminid dynasty, known as one of the sons of Grand Duke Gediminas and a participant in the political and military affairs of the Grand Duchy of Lithuania.
  • D. Lubartas
    Lubartas is a masculine given name, likely of Lithuanian origin, associated with the historical figure Lubart, a medieval ruler of Volhynia.
  • E. Mikelis
    Mikelis is a given name, primarily used in Latvia, that serves as a local variant of the name Michael.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28d0ddc8190a34e3e2d469ab762 completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a813b881908a71350073c8fc5c completed May 8, 2026, 7:25 p.m.
NEDg Description generation batch_69fe5096b15481908f7794f9da78141a completed May 8, 2026, 9:07 p.m.
NED2 Entity disambiguation (via description) batch_69fe510d4164819080c4000af3e39bf8 completed May 8, 2026, 9:09 p.m.
Created at: April 10, 2026, 1:52 a.m.