Triple

T4422238
Position Surface form Disambiguated ID Type / Status
Subject Kristin Lavransdatter E95126 entity
Predicate namedAfter P63 FINISHED
Object Lavrans
Lavrans is a central character in Sigrid Undset’s medieval Norwegian novel "Kristin Lavransdatter," known primarily as the devoted and principled father of the protagonist, Kristin.
 E437281 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: Lavrans | Statement: [Kristin Lavransdatter, namedAfter, Lavrans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lavrans
Context triple: [Kristin Lavransdatter, namedAfter, Lavrans]
  • A. Lavr
    Lavr is the given name of Lavr Kornilov, a prominent Russian military officer and key figure in the events surrounding the Russian Revolution.
  • B. Lyova
    Lyova is a Russian diminutive form of the male given name Lev.
  • C. Gavro
    Gavro is a diminutive or short form of the male given name Gavril, commonly used in some Slavic-speaking regions.
  • D. Larsmo
    Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
  • E. Vallader
    Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
  • 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: Lavrans
Triple: [Kristin Lavransdatter, namedAfter, Lavrans]
Generated description
Lavrans is a central character in Sigrid Undset’s medieval Norwegian novel "Kristin Lavransdatter," known primarily as the devoted and principled father of the protagonist, Kristin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lavrans
Target entity description: Lavrans is a central character in Sigrid Undset’s medieval Norwegian novel "Kristin Lavransdatter," known primarily as the devoted and principled father of the protagonist, Kristin.
  • A. Lavr
    Lavr is the given name of Lavr Kornilov, a prominent Russian military officer and key figure in the events surrounding the Russian Revolution.
  • B. Lyova
    Lyova is a Russian diminutive form of the male given name Lev.
  • C. Gavro
    Gavro is a diminutive or short form of the male given name Gavril, commonly used in some Slavic-speaking regions.
  • D. Larsmo
    Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
  • E. Vallader
    Vallader is a major dialect of the Romansh language spoken primarily in Switzerland’s Lower Engadine region and used in local literature and education.
  • 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_69b3453a36908190b95a79a297ca083c completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3554a0e7c8190b704d00d07b1857d completed March 13, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b5f62bbee48190bae8fc7b9cc29086 completed March 14, 2026, 11:58 p.m.
NEDg Description generation batch_69b5f6b132a88190950cde007375965a completed March 15, 2026, midnight
NED2 Entity disambiguation (via description) batch_69b5f7794d7081909eb494c2119eaee7 completed March 15, 2026, 12:04 a.m.
Created at: March 12, 2026, 11:30 p.m.