Triple

T25870673
Position Surface form Disambiguated ID Type / Status
Subject Runo XLI E651745 entity
Predicate hasInfluence P9 FINISHED
Object Finnish music
Finnish music encompasses a diverse tradition ranging from ancient runo-singing and folk melodies to contemporary classical, rock, and metal, often characterized by melancholic tones and strong ties to nature and national identity.
E1697292 NE FINISHED

How this triple was built (2 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: Finnish music | Statement: [Runo XLI, hasInfluence, Finnish music]
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: Finnish music
Triple: [Runo XLI, hasInfluence, Finnish music]
Generated description
Finnish music encompasses a diverse tradition ranging from ancient runo-singing and folk melodies to contemporary classical, rock, and metal, often characterized by melancholic tones and strong ties to nature and national identity.

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_69e7ab3ad9d88190841ddcb93ab02e96 completed April 21, 2026, 4:52 p.m.
NER Named-entity recognition batch_69f602dcb8348190a5507f570b54da5f completed May 2, 2026, 1:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10da45a6388190b60196b83a9ac649 completed May 22, 2026, 10:35 p.m.
NEDg Description generation batch_6a10dd8b9d148190981b68a5665550c5 completed May 22, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_6a10ddefcc708190bf63edf1edd09aec completed May 22, 2026, 10:51 p.m.
Created at: April 22, 2026, 8:11 a.m.