Triple

T15560828
Position Surface form Disambiguated ID Type / Status
Subject Simeon of Moscow E370992 entity
Predicate givenName P17 FINISHED
Object Simeon
Simeon was a 14th-century Grand Prince of Moscow and Vladimir who helped consolidate Muscovite power in medieval Russia.
E1163475 NE FINISHED

How this triple was built (4 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: Simeon | Statement: [Simeon of Moscow, givenName, Simeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simeon
Context triple: [Simeon of Moscow, givenName, Simeon]
  • A. Simeon
    Simeon is a biblical figure, one of the twelve sons of Jacob and a progenitor of one of the tribes of Israel.
  • B. Simeon
    Simeon is a monastic name referring to Saint Simeon the Myrrh-streaming, a revered Orthodox Christian saint known for the miraculous flow of myrrh from his relics.
  • C. Simeon
    Simeon is a person known primarily as the child of the singer Nena.
  • D. Simeon
    Simeon is the given name of Simeon II, the last reigning Tsar of Bulgaria who later served as the country’s prime minister.
  • E. Simeon the God-receiver
    Simeon the God-receiver is a biblical figure in Christian tradition revered as the righteous elder who recognized the infant Jesus as the Messiah during His presentation in the Temple.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Simeon
Triple: [Simeon of Moscow, givenName, Simeon]
Generated description
Simeon was a 14th-century Grand Prince of Moscow and Vladimir who helped consolidate Muscovite power in medieval Russia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Simeon
Target entity description: Simeon was a 14th-century Grand Prince of Moscow and Vladimir who helped consolidate Muscovite power in medieval Russia.
  • A. Simeon
    Simeon is a biblical figure, one of the twelve sons of Jacob and a progenitor of one of the tribes of Israel.
  • B. Simeon
    Simeon is a monastic name referring to Saint Simeon the Myrrh-streaming, a revered Orthodox Christian saint known for the miraculous flow of myrrh from his relics.
  • C. Simeon
    Simeon is a person known primarily as the child of the singer Nena.
  • D. Simeon
    Simeon is the given name of Simeon II, the last reigning Tsar of Bulgaria who later served as the country’s prime minister.
  • E. Simeon the God-receiver
    Simeon the God-receiver is a biblical figure in Christian tradition revered as the righteous elder who recognized the infant Jesus as the Messiah during His presentation in the Temple.
  • F. None of above. chosen

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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ddb4c0c81909b3f4c75c91f7f3f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456821988190971539b683f6c656 completed May 9, 2026, 2:32 p.m.
NEDg Description generation batch_69ff46f44b2c81909f65f0ab455c6549 completed May 9, 2026, 2:38 p.m.
NED2 Entity disambiguation (via description) batch_69ff477a63b48190a453cf669dfda228 completed May 9, 2026, 2:40 p.m.
Created at: April 10, 2026, 4:09 a.m.