Triple

T24014058
Position Surface form Disambiguated ID Type / Status
Subject Holy Royal Martyrs of Russia E594619 entity
Predicate hasMember P10 FINISHED
Object Ivan Kharitonov
Ivan Kharitonov was the cook of Tsar Nicholas II who was executed alongside the imperial family in 1918 and is venerated as one of the Holy Royal Martyrs of Russia.
E2291020 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: Ivan Kharitonov | Statement: [Holy Royal Martyrs of Russia, hasMember, Ivan Kharitonov]
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: Ivan Kharitonov
Triple: [Holy Royal Martyrs of Russia, hasMember, Ivan Kharitonov]
Generated description
Ivan Kharitonov was the cook of Tsar Nicholas II who was executed alongside the imperial family in 1918 and is venerated as one of the Holy Royal Martyrs of Russia.

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_69e288bc8f608190ac4af29f0bd1c744 completed April 17, 2026, 7:23 p.m.
NER Named-entity recognition batch_69f1d5a0aa408190a27fca07777cda05 completed April 29, 2026, 9:55 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5c1caf2b288190a07d2273dc5deb0d completed July 19, 2026, 12:39 a.m.
NEDg Description generation batch_6a5c1d1f5bd081908e65bb174280c1fa completed July 19, 2026, 12:41 a.m.
NED2 Entity disambiguation (via description) batch_6a5c1d6fab948190b547d69ca7973429 completed July 19, 2026, 12:42 a.m.
Created at: April 17, 2026, 9:41 p.m.