Triple

T38134326
Position Surface form Disambiguated ID Type / Status
Subject Swedish Enlightenment E952305 entity
Predicate hasKeyFigure P810 FINISHED
Object Olof von Dalin
Olof von Dalin was an influential 18th-century Swedish writer, historian, and satirist whose works helped shape the literary and intellectual life of the Swedish Enlightenment.
E2259844 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: Olof von Dalin | Statement: [Swedish Enlightenment, hasKeyFigure, Olof von Dalin]
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: Olof von Dalin
Triple: [Swedish Enlightenment, hasKeyFigure, Olof von Dalin]
Generated description
Olof von Dalin was an influential 18th-century Swedish writer, historian, and satirist whose works helped shape the literary and intellectual life of the Swedish Enlightenment.

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_69f76f083548819082bd2bbf53c79e8e completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc45ebd5a48190af99801e4ff329c5 completed May 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a417b25185c8190a86dd963366ef52e completed June 28, 2026, 7:51 p.m.
NEDg Description generation batch_6a417da236688190abe036abbf1f6245 completed June 28, 2026, 8:01 p.m.
NED2 Entity disambiguation (via description) batch_6a417e1abc2c8190b3b7f93c6a793208 completed June 28, 2026, 8:03 p.m.
Created at: May 3, 2026, 4:21 p.m.