Triple

T16076588
Position Surface form Disambiguated ID Type / Status
Subject Simeon II E389993 entity
Predicate name P16 FINISHED
Object Simeon II E340944 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 II | Statement: [Simeon II, name, Simeon II]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simeon II
Context triple: [Simeon II, name, Simeon II]
  • A. Simeon II of Bulgaria chosen
    Simeon II of Bulgaria is the former Tsar of Bulgaria who later returned to the country as a democratic politician and served as its prime minister.
  • B. Prince Kyril of Bulgaria
    Prince Kyril of Bulgaria is a Spanish-born financier and environmental advocate, best known as the second son of Bulgaria’s last tsar, Simeon II, and a prominent member of the former Bulgarian royal family.
  • C. Prince Kiril of Bulgaria
    Prince Kiril of Bulgaria was a Bulgarian royal prince who served as regent during World War II and was executed by the communist regime in 1945.
  • D. Michael of Bulgaria
    Michael of Bulgaria was a medieval Bulgarian prince, known primarily as a son of Tsar Simeon I during the First Bulgarian Empire.
  • E. Boris III of Bulgaria
    Boris III of Bulgaria was the Tsar of Bulgaria from 1918 to 1943, known for steering his country through the interwar period and most of World War II while attempting to maintain a degree of independence from Nazi Germany.
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183c27aac81909c56d200c0c51a0c completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffeeb32348190a1896059479c236c completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 4:57 a.m.