Triple

T11743664
Position Surface form Disambiguated ID Type / Status
Subject Simeon Mikhailovich of Russia E279216 entity
Predicate givenName P17 FINISHED
Object Simeon
Simeon is a male given name of Hebrew origin, commonly used in various Christian and Jewish traditions and borne by numerous historical and religious figures.
E67279 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 Mikhailovich of Russia, givenName, Simeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simeon
Context triple: [Simeon Mikhailovich of Russia, 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 person known primarily as the child of the singer Nena.
  • C. 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.
  • D. 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.
  • E. Emmanuel
    Emmanuel is a Belgian prince, a member of the royal family of Belgium and the son of King Philippe and Queen Mathilde.
  • 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 Mikhailovich of Russia, givenName, Simeon]
Generated description
Simeon is a male given name of Hebrew origin, commonly used in various Christian and Jewish traditions and borne by numerous historical and religious figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Simeon
Target entity description: Simeon is a male given name of Hebrew origin, commonly used in various Christian and Jewish traditions and borne by numerous historical and religious figures.
  • A. Simeon chosen
    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 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.
  • E. Emmanuel
    Emmanuel is a Belgian prince, a member of the royal family of Belgium and the son of King Philippe and Queen Mathilde.
  • F. None of above.

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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4f191388190bd6ef7e80c41ca48 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019e4f0988190afe0b92f4c9d8073 completed April 28, 2026, 2:22 a.m.
NEDg Description generation batch_69f043b3c51c8190a764433e86f1333e completed April 28, 2026, 5:20 a.m.
NED2 Entity disambiguation (via description) batch_69f05aa351888190a31092e6a9aee26b completed April 28, 2026, 6:58 a.m.
Created at: April 8, 2026, 9:41 p.m.