Triple

T21141227
Position Surface form Disambiguated ID Type / Status
Subject Ratmir E520931 entity
Predicate associatedWith P37 FINISHED
Object Ruslan 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: Ruslan | Statement: [Ratmir, associatedWith, Ruslan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruslan
Context triple: [Ratmir, associatedWith, Ruslan]
  • A. Ruslan chosen
    Ruslan is a masculine given name of Turkic origin widely used in Slavic countries, often associated with literary and historical figures.
  • B. Ilya Muromets
    Ilya Muromets is a legendary bogatyr (epic hero) of East Slavic folklore, famed for his superhuman strength, heroic exploits, and central role in Russian byliny (oral epic poems).
  • C. Rustam
    Rustam is a legendary hero of Persian mythology and the Shahnameh, renowned for his extraordinary strength, bravery, and epic battles against formidable foes.
  • D. Rustam
    Rustam is a town and administrative settlement located within the Mardan District of Khyber Pakhtunkhwa, Pakistan.
  • E. Gavril
    Gavril is a masculine given name, commonly used in Slavic and Eastern European cultures, that derives from the Hebrew name Gabriel.
  • 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_69e0b50c6a848190a4e525a77a319b8a completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235f77708190809d6aa3ee8056aa completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.