Triple

T32704329
Position Surface form Disambiguated ID Type / Status
Subject von Bülow E836231 entity
Predicate usedBy P260 FINISHED
Object Clarence von Bülow
Clarence von Bülow, better known as Claus von Bülow, was a British socialite whose high-profile 1980s trials for the attempted murder of his wife Sunny von Bülow made him a central figure in a major legal and media scandal.
E2030350 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: Clarence von Bülow | Statement: [von Bülow, usedBy, Clarence von Bülow]
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: Clarence von Bülow
Triple: [von Bülow, usedBy, Clarence von Bülow]
Generated description
Clarence von Bülow, better known as Claus von Bülow, was a British socialite whose high-profile 1980s trials for the attempted murder of his wife Sunny von Bülow made him a central figure in a major legal and media scandal.

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_69f3493446148190819541f3ffe79975 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6c84fd3d48190aae000560ca4f764 completed May 3, 2026, 4 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34d2480d6c8190a7eaa21130b08267 completed June 19, 2026, 5:23 a.m.
NEDg Description generation batch_6a34d30d5a7c8190b05f04ed591361b0 completed June 19, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_6a34d405a48c8190ab95daacc1a06ff5 completed June 19, 2026, 5:30 a.m.
Created at: May 1, 2026, 1:10 a.m.