Triple

T38227266
Position Surface form Disambiguated ID Type / Status
Subject Anthony Fedorov E1012179 entity
Predicate birthName P65 FINISHED
Object Anatoliy Vladimirovich Fedorov
Anatoliy Vladimirovich Fedorov, better known as Anthony Fedorov, is a Ukrainian-born American singer and former American Idol finalist.
E2269052 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: Anatoliy Vladimirovich Fedorov | Statement: [Anthony Fedorov, birthName, Anatoliy Vladimirovich Fedorov]
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: Anatoliy Vladimirovich Fedorov
Triple: [Anthony Fedorov, birthName, Anatoliy Vladimirovich Fedorov]
Generated description
Anatoliy Vladimirovich Fedorov, better known as Anthony Fedorov, is a Ukrainian-born American singer and former American Idol finalist.

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_69f76dd25e0c81909f2abd0803e5e3ee completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69fcb16092b48190a9d687494f1f6e52 completed May 7, 2026, 3:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41c26ddac081909c784842b64ed6a6 completed June 29, 2026, 12:55 a.m.
NEDg Description generation batch_6a41c35962a4819093de520a9b0bdc41 completed June 29, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_6a41c3cd2f7081909cba8f277a165063 completed June 29, 2026, 1:01 a.m.
Created at: May 3, 2026, 4:30 p.m.