Triple

T28739318
Position Surface form Disambiguated ID Type / Status
Subject Soviet Union national figure skating team E730894 entity
Predicate producedAthlete P17934 FINISHED
Object Alexander Gorshkov
Alexander Gorshkov was a Soviet ice dancer who, with his partner Lyudmila Pakhomova, became one of the sport’s pioneers and the first Olympic champion in ice dancing.
E1830316 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 Gorshkov | Statement: [Soviet Union national figure skating team, producedAthlete, Alexander Gorshkov]
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 Gorshkov
Triple: [Soviet Union national figure skating team, producedAthlete, Alexander Gorshkov]
Generated description
Alexander Gorshkov was a Soviet ice dancer who, with his partner Lyudmila Pakhomova, became one of the sport’s pioneers and the first Olympic champion in ice dancing.

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_69f043eae0908190b28ce314686247d7 completed April 28, 2026, 5:21 a.m.
NER Named-entity recognition batch_69f657b2b1808190a9f7c80eef2efa99 completed May 2, 2026, 7:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1ccf68f8c08190938e6a08f628135d completed June 1, 2026, 12:16 a.m.
NEDg Description generation batch_6a1cd02268a88190b51b5602e6916d3e completed June 1, 2026, 12:19 a.m.
NED2 Entity disambiguation (via description) batch_6a249457116881909199d0b381a902c3 completed June 6, 2026, 9:42 p.m.
Created at: April 28, 2026, 6:02 a.m.