Triple

T26848390
Position Surface form Disambiguated ID Type / Status
Subject Karl Briullov E675986 entity
Predicate alsoKnownAs P39 FINISHED
Object Carlo Brullo
Carlo Brullo is an alternative name for Karl Briullov, the renowned 19th-century Russian painter celebrated for his grand historical and romantic works such as "The Last Day of Pompeii."
E2295393 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: Carlo Brullo | Statement: [Karl Briullov, alsoKnownAs, Carlo Brullo]
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: Carlo Brullo
Triple: [Karl Briullov, alsoKnownAs, Carlo Brullo]
Generated description
Carlo Brullo is an alternative name for Karl Briullov, the renowned 19th-century Russian painter celebrated for his grand historical and romantic works such as "The Last Day of Pompeii."

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_69eee9b8d5e88190a07d3455c0fbb21f completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f61b8f2dc081908c3f0a1597569328 completed May 2, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_6a7d4b2cb940819083cc68e9e9dabd0e completed Aug. 13, 2026, 4:42 a.m.
NEDg Description generation batch_6a7d4b571f9c8190af9ceacef18c3f55 completed Aug. 13, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_6a7d4bbf653481908ff7e0f81a11a8e4 completed Aug. 13, 2026, 4:44 a.m.
Created at: April 27, 2026, 5:14 a.m.