Triple

T33235490

Position	Surface form	Disambiguated ID	Type / Status
Subject	The Soldier (plate)	`E850815`	entity
Predicate	hasBlockCutter	`P75448`	FINISHED
Object	Hans Lützelburger Hans Lützelburger was a 16th-century German woodcut artist and blockcutter best known for his collaboration with Hans Holbein the Younger on influential Renaissance prints.	`E2297253`	NE FINISHED

How this triple was built (3 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 Lützelburger | Statement: [The Soldier (plate), hasBlockCutter, Hans Lützelburger]

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 Lützelburger
Triple: [The Soldier (plate), hasBlockCutter, Hans Lützelburger]

Generated description

Hans Lützelburger was a 16th-century German woodcut artist and blockcutter best known for his collaboration with Hans Holbein the Younger on influential Renaissance prints.

PD Predicate disambiguation gpt-5-mini-2025-08-07

Target predicate: hasBlockCutter
Context triple: [The Soldier (plate), hasBlockCutter, Hans Lützelburger]

A. canBreakBlocks
Indicates that an entity has the ability to destroy or remove blocks within the environment.
B. cutter chosen
Indicates that an entity is used to cut or divide another entity.
C. hasBlock
Indicates that one entity possesses, contains, or is associated with a specific block or blocking element in relation to another entity.
D. canPickUpBlocks
Indicates that an entity has the ability to lift and carry blocks.
E. isCutInto
Indicates that one entity is divided or separated into pieces or segments that become the other entity.
F. None of above.

Provenance (6 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_69f349613f988190a1eb75467d167122`	completed	April 30, 2026, 12:21 p.m.
NER	Named-entity recognition	`batch_69f6dd3cc0648190a275812d6711275a`	completed	May 3, 2026, 5:29 a.m.
NED1	Entity disambiguation (via context triple)	`batch_6a833a0d86448190b64be5583b644f33`	completed	Aug. 17, 2026, 4:42 p.m.
NEDg	Description generation	`batch_6a833a6ea5bc8190aa15ff653d35e144`	completed	Aug. 17, 2026, 4:44 p.m.
NED2	Entity disambiguation (via description)	`batch_6a833ac118e4819096629f3a1a57f7c8`	completed	Aug. 17, 2026, 4:45 p.m.
PD	Predicate disambiguation	`batch_69f6d82eaee081908f06a71546315aea`	completed	May 3, 2026, 5:07 a.m.

Created at: May 1, 2026, 1:31 a.m.