Triple

T30721497
Position Surface form Disambiguated ID Type / Status
Subject XII (1st Royal Saxon) Corps E782165 entity
Predicate notableCommander P1197 FINISHED
Object Hans von Kirchbach
Hans von Kirchbach was a German General of the Infantry who served as a senior commander in the Royal Saxon Army during the late 19th and early 20th centuries, including World War I.
E2084898 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: Hans von Kirchbach | Statement: [XII (1st Royal Saxon) Corps, notableCommander, Hans von Kirchbach]
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: Hans von Kirchbach
Triple: [XII (1st Royal Saxon) Corps, notableCommander, Hans von Kirchbach]
Generated description
Hans von Kirchbach was a German General of the Infantry who served as a senior commander in the Royal Saxon Army during the late 19th and early 20th centuries, including World War 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_69f224acd24481908ed5f96f0d69b5dd completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68c5a08648190af6e1d9a99876410 completed May 2, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a36c1a5934481908821acad18203529 completed June 20, 2026, 4:36 p.m.
NEDg Description generation batch_6a36c53c92288190b96d9ff8814450da completed June 20, 2026, 4:52 p.m.
NED2 Entity disambiguation (via description) batch_6a36c733aa288190a8eeb1ab40399f0e completed June 20, 2026, 5 p.m.
Created at: April 29, 2026, 8:36 p.m.