Triple

T36295828
Position Surface form Disambiguated ID Type / Status
Subject Anastasia Prikhodko E893362 entity
Predicate notableFor P22 FINISHED
Object performing the song "Mamo"
"Mamo" is a song most widely recognized as the emotional, folk-influenced ballad performed by Ukrainian-Russian singer Anastasia Prikhodko at the Eurovision Song Contest 2009.
E2176424 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: performing the song "Mamo" | Statement: [Anastasia Prikhodko, notableFor, performing the song "Mamo"]
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: performing the song "Mamo"
Triple: [Anastasia Prikhodko, notableFor, performing the song "Mamo"]
Generated description
"Mamo" is a song most widely recognized as the emotional, folk-influenced ballad performed by Ukrainian-Russian singer Anastasia Prikhodko at the Eurovision Song Contest 2009.

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_69f76e4a61f0819084a2b68dbbb4efc6 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b9ff5fcc8190853d84e35db65aca completed May 3, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a396e256b808190944b1823c2576136 completed June 22, 2026, 5:17 p.m.
NEDg Description generation batch_6a396ebb4224819081b9d1f60d22b488 completed June 22, 2026, 5:19 p.m.
NED2 Entity disambiguation (via description) batch_6a3970fbbc608190bf438b9446a9be3d completed June 22, 2026, 5:29 p.m.
Created at: May 3, 2026, 4:09 p.m.