Triple

T23419289
Position Surface form Disambiguated ID Type / Status
Subject Samuli Edelmann E560602 entity
Predicate notableWork P4 FINISHED
Object Vares – yksityisetsivä
Vares – yksityisetsivä is a Finnish crime film featuring Samuli Edelmann as private detective Jussi Vares, adapted from Reijo Mäki’s popular detective novel series.
E1587176 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: Vares – yksityisetsivä | Statement: [Samuli Edelmann, notableWork, Vares – yksityisetsivä]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vares – yksityisetsivä
Context triple: [Samuli Edelmann, notableWork, Vares – yksityisetsivä]
  • A. Val Varaita
    Val Varaita is a valley in the Italian Alps of Piedmont, known for its scenic landscapes, traditional mountain villages, and access to high alpine passes near the French border.
  • B. Varvarin
    Varvarin is a small town in central Serbia situated on the banks of the Velika Morava River.
  • C. Vara
    Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
  • D. Vara
    Vara is a small locality and municipality in western Sweden known for its agricultural landscape and rural character.
  • E. Värska
    Värska is a village in southeastern Estonia known as a cultural center of the Seto people and for its traditional Seto heritage and mineral water.
  • 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: Vares – yksityisetsivä
Triple: [Samuli Edelmann, notableWork, Vares – yksityisetsivä]
Generated description
Vares – yksityisetsivä is a Finnish crime film featuring Samuli Edelmann as private detective Jussi Vares, adapted from Reijo Mäki’s popular detective novel series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vares – yksityisetsivä
Target entity description: Vares – yksityisetsivä is a Finnish crime film featuring Samuli Edelmann as private detective Jussi Vares, adapted from Reijo Mäki’s popular detective novel series.
  • A. Val Varaita
    Val Varaita is a valley in the Italian Alps of Piedmont, known for its scenic landscapes, traditional mountain villages, and access to high alpine passes near the French border.
  • B. Varvarin
    Varvarin is a small town in central Serbia situated on the banks of the Velika Morava River.
  • C. Vara
    Vara is a short form of the female given name Varvara, commonly used in Slavic languages.
  • D. Vara
    Vara is a small locality and municipality in western Sweden known for its agricultural landscape and rural character.
  • E. Värska
    Värska is a village in southeastern Estonia known as a cultural center of the Seto people and for its traditional Seto heritage and mineral water.
  • 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_69e2454cb1108190ab21ada5411a7146 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a54489d48190b2b2c29701851765 completed April 29, 2026, 6:29 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c67a145e88190a59c10b20d3395f9 completed May 19, 2026, 1:37 p.m.
NEDg Description generation batch_6a0c72156130819082e1d07262e144ca completed May 19, 2026, 2:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0c770386a8819098358513016ae5ab completed May 19, 2026, 2:43 p.m.
Created at: April 17, 2026, 5:44 p.m.