Triple

T18223183
Position Surface form Disambiguated ID Type / Status
Subject Armen Nazaryan E436356 entity
Predicate name P16 FINISHED
Object Armen Nazaryan NE NERFINISHED

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: Armen Nazaryan | Statement: [Armen Nazaryan, name, Armen Nazaryan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armen Nazaryan
Context triple: [Armen Nazaryan, name, Armen Nazaryan]
  • A. Armen Nazaryan chosen
    Armen Nazaryan is a prominent Armenian Greco-Roman wrestler and Olympic champion known for his international success in the sport.
  • B. Rafael Arutyunyan
    Rafael Arutyunyan is a renowned figure skating coach known for developing numerous elite skaters and refining their technical jumping skills.
  • C. Dave Hakopyan
    Dave Hakopyan is an American bassist best known for his work in alternative and experimental rock bands, including his role in Scars on Broadway.
  • D. 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.
  • E. Alek Keshishian
    Alek Keshishian is an Armenian-American film director and screenwriter best known for directing Madonna’s documentary "Truth or Dare" and writing and directing the romantic comedy "Love and Other Disasters."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47d9b348190897d5a1e70b39ec5 completed April 19, 2026, 2:19 p.m.
Created at: April 10, 2026, 10:32 a.m.