Triple

T37214124
Position Surface form Disambiguated ID Type / Status
Subject Nikolaus Hieronymus Gundling E922687 entity
Predicate relative P37 FINISHED
Object Jakob Paul von Gundling
Jakob Paul von Gundling was an 18th-century German historian and scholar best known as a court historian and eccentric favorite of Prussian King Frederick William I.
 E2221477 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: Jakob Paul von Gundling | Statement: [Nikolaus Hieronymus Gundling, relative, Jakob Paul von Gundling]
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: Jakob Paul von Gundling
Triple: [Nikolaus Hieronymus Gundling, relative, Jakob Paul von Gundling]
Generated description
Jakob Paul von Gundling was an 18th-century German historian and scholar best known as a court historian and eccentric favorite of Prussian King Frederick William I.

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_69f76ea6f5288190b8d9988f613811c0 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb367480b88190909a2517861bedfc completed May 6, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40637b722481908182c0cabf112d94 completed June 27, 2026, 11:57 p.m.
NEDg Description generation batch_6a40640584d4819091464328bd2188a8 completed June 28, 2026, midnight
NED2 Entity disambiguation (via description) batch_6a40645c9f308190af91db4278472749 completed June 28, 2026, 12:01 a.m.
Created at: May 3, 2026, 4:15 p.m.