Triple

T8539043
Position Surface form Disambiguated ID Type / Status
Subject Ashot I Bagratuni E202149 entity
Predicate alsoKnownAs P39 FINISHED
Object Ashot Medz E744976 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: Ashot Medz | Statement: [Ashot I Bagratuni, alsoKnownAs, Ashot Medz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashot Medz
Context triple: [Ashot I Bagratuni, alsoKnownAs, Ashot Medz]
  • A. Ashot Mndoyants
    Ashot Mndoyants was a Soviet architect best known for designing major state buildings in Moscow, including prominent structures within the Kremlin complex.
  • B. Ashot chosen
    Ashot is a masculine given name of Armenian origin, historically borne by several Armenian kings and nobles.
  • C. Gayk Bzhishkyan
    Gayk Bzhishkyan was a Soviet Armenian military commander and Red Army officer who played a prominent role in the Russian Civil War and early Soviet military campaigns.
  • D. Armen Dzhigarkhanyan
    Armen Dzhigarkhanyan was a renowned Soviet and Armenian actor celebrated for his prolific film and theater career and distinctive character roles.
  • E. Tigran Avinyan
    Tigran Avinyan is an Armenian politician and public official known for his leadership roles in the government and in the administration of the capital city, Yerevan.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a7441c8190980c3516073422fe completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb71c81881909e7b9e84d2601949 completed April 2, 2026, 6:54 p.m.
Created at: March 30, 2026, 6:18 p.m.