Triple

T35629991
Position Surface form Disambiguated ID Type / Status
Subject Russia national athletics team E1029555 entity
Predicate hasNotableAthletes P10392 FINISHED
Object Svetlana Masterkova
Svetlana Masterkova is a retired Russian middle-distance runner best known for winning double Olympic gold in 1996 and setting enduring world records in the 1,000 m and indoor 1,000 m and 1,500 m events.
E2149290 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: Svetlana Masterkova | Statement: [Russia national athletics team, hasNotableAthletes, Svetlana Masterkova]
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: Svetlana Masterkova
Triple: [Russia national athletics team, hasNotableAthletes, Svetlana Masterkova]
Generated description
Svetlana Masterkova is a retired Russian middle-distance runner best known for winning double Olympic gold in 1996 and setting enduring world records in the 1,000 m and indoor 1,000 m and 1,500 m events.

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_69f76e07bb0c8190968ea2d836fc42c9 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_6a03809b0390819096079bac5444f38b completed May 12, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38684ee5d88190a8d0fd33fd0f8681 completed June 21, 2026, 10:40 p.m.
NEDg Description generation batch_6a386913196c81908274a2e909d943b8 completed June 21, 2026, 10:43 p.m.
NED2 Entity disambiguation (via description) batch_6a3869ecb09c8190bffe477099dcc2cf completed June 21, 2026, 10:47 p.m.
Created at: May 3, 2026, 4:05 p.m.