Triple

T4981521
Position Surface form Disambiguated ID Type / Status
Subject Armen Keteyian E111894 entity
Predicate givenName P17 FINISHED
Object Armen E98977 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: Armen | Statement: [Armen Keteyian, givenName, Armen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Armen
Context triple: [Armen Keteyian, givenName, Armen]
  • A. Armen chosen
    Armen is a masculine given name of Armenian origin, commonly used in Armenia and among the Armenian diaspora.
  • B. Armãnji
    Armãnji are an Eastern Romance ethnic group native to the Balkans, known for their Aromanian language and distinct pastoral and mercantile traditions.
  • C. Armenistis
    Armenistis is a coastal village and popular tourist resort on the Greek island of Ikaria, known for its beaches, tavernas, and relaxed atmosphere.
  • D. Armn
    Armn is the ISO 15924 four-letter code that designates the Armenian script used for writing the Armenian language.
  • E. Armen Garo
    Armen Garo was an Armenian Ottoman revolutionary and politician who became a leading figure in the Armenian national movement and later served as the first ambassador of the First Republic of Armenia to the United States.
  • 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_69bd441adc208190b70a033a0741d01e completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd725310088190a44b5c02658edc52 completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69be8a0f90048190998dad99555891c0 completed March 21, 2026, 12:07 p.m.
Created at: March 20, 2026, 1:33 p.m.