Triple

T21755868
Position Surface form Disambiguated ID Type / Status
Subject Praeger E537036 entity
Predicate hasNotableBearer P458 FINISHED
Object William Frederick Praeger
William Frederick Praeger was a 19th-century music publisher and writer known for promoting and corresponding with prominent composers, including Richard Wagner.
E1604293 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: William Frederick Praeger | Statement: [Praeger, hasNotableBearer, William Frederick Praeger]
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: William Frederick Praeger
Triple: [Praeger, hasNotableBearer, William Frederick Praeger]
Generated description
William Frederick Praeger was a 19th-century music publisher and writer known for promoting and corresponding with prominent composers, including Richard Wagner.

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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d8ea04c8190a8c4fa43b3f23935 completed April 28, 2026, 2:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f69354fb88190b596571e3f3a13d6 completed May 21, 2026, 8:21 p.m.
NEDg Description generation batch_6a0f6d5d000881908d66b90b4d418c4f completed May 21, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_6a0f6e3adc0c819094df2d24bf20fcd6 completed May 21, 2026, 8:42 p.m.
Created at: April 16, 2026, 6:50 p.m.