Triple

T8941772
Position Surface form Disambiguated ID Type / Status
Subject Alexander Dovzhenko E212917 entity
Predicate employer P7 FINISHED
Object VUFKU E747554 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: VUFKU | Statement: [Alexander Dovzhenko, employer, VUFKU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VUFKU
Context triple: [Alexander Dovzhenko, employer, VUFKU]
  • A. VUFKU chosen
    VUFKU was a pioneering Soviet Ukrainian film studio of the 1920s known for producing innovative avant-garde and documentary cinema.
  • B. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • C.
    FÜ is the vehicle registration code used on license plates for the city of Fürth in Bavaria, Germany.
  • D. Kuuvak
    Kuuvak is the traditional Indigenous name, used by local Iñupiat peoples, for the river known in English as the Kobuk River in northwestern Alaska.
  • E. Varekai
    Varekai is a Cirque du Soleil touring circus production known for its fantastical forest setting, acrobatic performances, and imaginative storytelling.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b9c14c8190b80c3df0cdba2747 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1f418708190b1272209f61e3a51 completed April 3, 2026, 1:34 p.m.
Created at: March 30, 2026, 6:58 p.m.