Triple

T27621458
Position Surface form Disambiguated ID Type / Status
Subject Kurt Eisner E700588 entity
Predicate killedBy P4646 FINISHED
Object Anton Graf von Arco auf Valley
Anton Graf von Arco auf Valley was a right-wing German nationalist and former army officer best known for assassinating Bavarian Prime Minister Kurt Eisner in 1919.
E1782024 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: Anton Graf von Arco auf Valley | Statement: [Kurt Eisner, killedBy, Anton Graf von Arco auf Valley]
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: Anton Graf von Arco auf Valley
Triple: [Kurt Eisner, killedBy, Anton Graf von Arco auf Valley]
Generated description
Anton Graf von Arco auf Valley was a right-wing German nationalist and former army officer best known for assassinating Bavarian Prime Minister Kurt Eisner in 1919.

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_69ef6a4f1d9c8190b0705acda054368d completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f630dc90708190a1f81c7fb6562a75 completed May 2, 2026, 5:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0f557f88190a4a3399950eb5f8b completed May 24, 2026, 10:20 a.m.
NEDg Description generation batch_6a12d1a671948190add200d3ab2db641 completed May 24, 2026, 10:23 a.m.
NED2 Entity disambiguation (via description) batch_6a12d23dc1b48190aa7f52797b82db62 completed May 24, 2026, 10:26 a.m.
Created at: April 27, 2026, 2:14 p.m.