Triple

T7244260
Position Surface form Disambiguated ID Type / Status
Subject Kalevala E156433 entity
Predicate hasPart P35 FINISHED
Object Runo II
Runo II is the second canto of the Finnish national epic Kalevala, continuing its mythic narrative in traditional poetic form.
E651739 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: Runo II | Statement: [Kalevala, hasPart, Runo II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Runo II
Context triple: [Kalevala, hasPart, Runo II]
  • A. Royal Dano
    Royal Dano was an American character actor known for his distinctive voice and memorable supporting roles in numerous Westerns and classic films and television series from the 1950s through the 1980s.
  • B. Ingvar
    Ingvar is a Scandinavian given name of Old Norse origin, historically associated with Viking-age figures and meaning roughly "Ing’s warrior" or "warrior of the god Ing."
  • C. King Sanna
    King Sanna was an early Javanese ruler known from ancient inscriptions as a predecessor in the lineage that led to the rise of the Mataram Kingdom in Central Java.
  • D. Ludvig
    Ludvig is a given name, primarily used in Scandinavian countries, that is a variant spelling of Ludwig.
  • E. Haakon
    Haakon is a Scandinavian male given name of Old Norse origin, traditionally borne by Norwegian kings and other notable figures.
  • 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: Runo II
Triple: [Kalevala, hasPart, Runo II]
Generated description
Runo II is the second canto of the Finnish national epic Kalevala, continuing its mythic narrative in traditional poetic form.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Runo II
Target entity description: Runo II is the second canto of the Finnish national epic Kalevala, continuing its mythic narrative in traditional poetic form.
  • A. Royal Dano
    Royal Dano was an American character actor known for his distinctive voice and memorable supporting roles in numerous Westerns and classic films and television series from the 1950s through the 1980s.
  • B. Ingvar
    Ingvar is a Scandinavian given name of Old Norse origin, historically associated with Viking-age figures and meaning roughly "Ing’s warrior" or "warrior of the god Ing."
  • C. King Sanna
    King Sanna was an early Javanese ruler known from ancient inscriptions as a predecessor in the lineage that led to the rise of the Mataram Kingdom in Central Java.
  • D. Ludvig
    Ludvig is a given name, primarily used in Scandinavian countries, that is a variant spelling of Ludwig.
  • E. Haakon
    Haakon is a Scandinavian male given name of Old Norse origin, traditionally borne by Norwegian kings and other notable figures.
  • 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_69c68827b5e481908dc05e145b2c92d4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea58533481909af7a4a6ade40eff completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d3930f588190a724279dae286d5c completed March 28, 2026, 1:11 p.m.
NEDg Description generation batch_69c7d4690adc81909abbfb7a756f453d completed March 28, 2026, 1:15 p.m.
NED2 Entity disambiguation (via description) batch_69c7d5137efc81908745cca73b112f0c completed March 28, 2026, 1:18 p.m.
Created at: March 27, 2026, 2:56 p.m.