Triple

T24956209
Position Surface form Disambiguated ID Type / Status
Subject Anthony Allen E624477 entity
Predicate collaboratedWith P435 FINISHED
Object Moritz von Oswald
Moritz von Oswald is a pioneering German electronic music producer and musician, best known for his influential work in dub techno and minimal techno as part of projects like Basic Channel and Rhythm & Sound.
E1685450 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: Moritz von Oswald | Statement: [Anthony Allen, collaboratedWith, Moritz von Oswald]
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: Moritz von Oswald
Triple: [Anthony Allen, collaboratedWith, Moritz von Oswald]
Generated description
Moritz von Oswald is a pioneering German electronic music producer and musician, best known for his influential work in dub techno and minimal techno as part of projects like Basic Channel and Rhythm & Sound.

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_69e2ff23a3a88190b1b9743fe5e15f94 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f424044cf8819092105c93ceba3b9c completed May 1, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10b717730c8190a236d505af0266a6 completed May 22, 2026, 8:05 p.m.
NEDg Description generation batch_6a10b7d88f6c8190a73108b86191ea5d completed May 22, 2026, 8:08 p.m.
NED2 Entity disambiguation (via description) batch_6a10b91b5be08190a85532fe02db813e completed May 22, 2026, 8:14 p.m.
Created at: April 18, 2026, 5:57 a.m.