Triple

T15161575
Position Surface form Disambiguated ID Type / Status
Subject Sainte-Geneviève-des-Bois Russian Cemetery E362229 entity
Predicate burialPlaceOf P196 FINISHED
Object Alexander Galich
Alexander Galich was a prominent Soviet-era Russian poet, singer-songwriter, and dissident known for his politically charged bard songs that were banned in the USSR.
E1680059 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: Alexander Galich | Statement: [Sainte-Geneviève-des-Bois Russian Cemetery, burialPlaceOf, Alexander Galich]
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: Alexander Galich
Triple: [Sainte-Geneviève-des-Bois Russian Cemetery, burialPlaceOf, Alexander Galich]
Generated description
Alexander Galich was a prominent Soviet-era Russian poet, singer-songwriter, and dissident known for his politically charged bard songs that were banned in the USSR.

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_69d85a087b7c81908baa94a53dac8d68 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0060f2efc8190aa0eb5fb8d4ce085 completed April 15, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10894395648190a7cebce6b3e927b2 completed May 22, 2026, 4:50 p.m.
NEDg Description generation batch_6a108b13f26c81908a4d0ea4bdfa605c completed May 22, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_6a108b8ea6908190b8f6887610e5d6a3 completed May 22, 2026, 4:59 p.m.
Created at: April 10, 2026, 3:08 a.m.