Triple

T20017023
Position Surface form Disambiguated ID Type / Status
Subject Windhund Division E494747 entity
Predicate notableCommander P1197 FINISHED
Object Heinrich Voigtsberger
Heinrich Voigtsberger was a German military officer best known for commanding the elite World War II Wehrmacht unit known as the Windhund Division (16th Panzer Division).
E1892756 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: Heinrich Voigtsberger | Statement: [Windhund Division, notableCommander, Heinrich Voigtsberger]
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: Heinrich Voigtsberger
Triple: [Windhund Division, notableCommander, Heinrich Voigtsberger]
Generated description
Heinrich Voigtsberger was a German military officer best known for commanding the elite World War II Wehrmacht unit known as the Windhund Division (16th Panzer Division).

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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6623cb8188190b95913ffed895930 completed April 20, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2713e7d1088190a1bed559fb1658fb completed June 8, 2026, 7:11 p.m.
NEDg Description generation batch_6a2714fad8188190bf86af12ee777b53 completed June 8, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_6a27198a097c8190aea66eba80acc1d8 completed June 8, 2026, 7:35 p.m.
Created at: April 11, 2026, 3:34 p.m.