Triple

T258497
Position Surface form Disambiguated ID Type / Status
Subject Edward E5488 entity
Predicate hasVariant P455 FINISHED
Object Edvardas
Edvardas is a given name, primarily used in Lithuania, that corresponds to the English name Edward.
 E34142 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: Edvardas | Statement: [Edward, hasVariant, Edvardas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Edvardas
Context triple: [Edward, hasVariant, Edvardas]
  • A. Edvard
    Edvard is a given name, commonly used in Scandinavian and some European countries, that corresponds to the English name Edward.
  • B. Gustaf
    Gustaf is the given name of Carl Gustaf Emil Mannerheim, the Finnish military leader and statesman who served as Commander-in-Chief during World War II and later as President of Finland.
  • C. Pál
    Pál is a Hungarian given name, equivalent to the English name Paul.
  • D. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • E. Halvdan Koht
    Halvdan Koht was a prominent Norwegian historian, politician, and former foreign minister known for his influential role in early 20th-century Norwegian academic and political life.
  • 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: Edvardas
Triple: [Edward, hasVariant, Edvardas]
Generated description
Edvardas is a given name, primarily used in Lithuania, that corresponds to the English name Edward.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Edvardas
Target entity description: Edvardas is a given name, primarily used in Lithuania, that corresponds to the English name Edward.
  • A. Edvard chosen
    Edvard is a given name, commonly used in Scandinavian and some European countries, that corresponds to the English name Edward.
  • B. Gustaf
    Gustaf is the given name of Carl Gustaf Emil Mannerheim, the Finnish military leader and statesman who served as Commander-in-Chief during World War II and later as President of Finland.
  • C. Pál
    Pál is a Hungarian given name, equivalent to the English name Paul.
  • D. Theodor
    Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
  • E. Halvdan Koht
    Halvdan Koht was a prominent Norwegian historian, politician, and former foreign minister known for his influential role in early 20th-century Norwegian academic and political life.
  • F. None of above.

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_69a2580a64ac8190ad76e34bb0715b5e completed Feb. 28, 2026, 2:50 a.m.
NER Named-entity recognition batch_69a25d71a10c8190894c86e7a67c5974 completed Feb. 28, 2026, 3:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69a389ab230c8190982eead1ef7b5c75 completed March 1, 2026, 12:34 a.m.
NEDg Description generation batch_69a38a0114b481908c9363e926b4b3ae completed March 1, 2026, 12:36 a.m.
NED2 Entity disambiguation (via description) batch_69a38a699a6081908c167ce9ad55a660 completed March 1, 2026, 12:38 a.m.
Created at: Feb. 28, 2026, 2:55 a.m.