Triple

T15684113
Position Surface form Disambiguated ID Type / Status
Subject Stefan Nemanja E380150 entity
Predicate monasticName P50298 FINISHED
Object Simeon E380151 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: Simeon | Statement: [Stefan Nemanja, monasticName, Simeon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simeon
Context triple: [Stefan Nemanja, monasticName, Simeon]
  • A. Simeon
    Simeon was a 14th-century Grand Prince of Moscow and Vladimir who helped consolidate Muscovite power in medieval Russia.
  • B. Simeon
    Simeon is a biblical figure, one of the twelve sons of Jacob and a progenitor of one of the tribes of Israel.
  • C. Simeon chosen
    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
    Simeon is a person known primarily as the child of the singer Nena.
  • E. Simeon
    Simeon is the given name of Simeon II, the last reigning Tsar of Bulgaria who later served as the country’s prime minister.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f31b5b881908e46ecd9fc6048ab completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee4c8688190ae2fefb56171161a completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:43 a.m.