Triple

T8854282
Position Surface form Disambiguated ID Type / Status
Subject Ola Larsmo E210713 entity
Predicate awardReceived P11 FINISHED
Object Lagercrantzen
Lagercrantzen is a Swedish literary award named after the prominent critic and author Olof Lagercrantz, given in recognition of significant contributions to literature or literary criticism.
 E762007 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: Lagercrantzen | Statement: [Ola Larsmo, awardReceived, Lagercrantzen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lagercrantzen
Context triple: [Ola Larsmo, awardReceived, Lagercrantzen]
  • A. Lauter
    Lauter is a small river in Germany that serves as a tributary of the Innerste.
  • B. Crombach
    Crombach is a village in the municipality of St. Vith in the German-speaking region of eastern Belgium.
  • C. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • D. Mahlberg
    Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • E. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • 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: Lagercrantzen
Triple: [Ola Larsmo, awardReceived, Lagercrantzen]
Generated description
Lagercrantzen is a Swedish literary award named after the prominent critic and author Olof Lagercrantz, given in recognition of significant contributions to literature or literary criticism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lagercrantzen
Target entity description: Lagercrantzen is a Swedish literary award named after the prominent critic and author Olof Lagercrantz, given in recognition of significant contributions to literature or literary criticism.
  • A. Lauter
    Lauter is a small river in Germany that serves as a tributary of the Innerste.
  • B. Crombach
    Crombach is a village in the municipality of St. Vith in the German-speaking region of eastern Belgium.
  • C. Bramsche
    Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
  • D. Mahlberg
    Mahlberg is a small town and municipality in the Ortenau district of Baden-Württemberg in southwestern Germany.
  • E. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c6dce88190b175698b191fb89b completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa09557dc81908b5690bf5c392528 completed April 3, 2026, 11:12 a.m.
NEDg Description generation batch_69cfa1503654819086db66f237f035a1 completed April 3, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_69cfa1b051cc8190b95c930883cec519 completed April 3, 2026, 11:17 a.m.
Created at: March 30, 2026, 6:49 p.m.