Triple

T21681549
Position Surface form Disambiguated ID Type / Status
Subject Ostap Bulba E535119 entity
Predicate familyName P18 FINISHED
Object Bulba 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: Bulba | Statement: [Ostap Bulba, familyName, Bulba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bulba
Context triple: [Ostap Bulba, familyName, Bulba]
  • A. Bulba chosen
    Bulba is a Ukrainian surname most notably associated with the literary character Taras Bulba from Nikolai Gogol’s historical novella.
  • B. Bulborb
    Bulborb is a large, frog-like, spotted predator from the Pikmin video game series known for devouring Pikmin in a single bite.
  • C. Frosch
    Frosch is the surname of Robert A. Frosch, an American scientist and former NASA administrator known for his contributions to space research and environmental policy.
  • D. Gumbat
    Gumbat is a town and administrative unit located in the Kohat District of Khyber Pakhtunkhwa province in Pakistan.
  • E. Bubas
    Bubas is a surname most notably associated with Vic Bubas, a prominent American college basketball coach.
  • 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_69e0c469b6ec8190aee4cadd1527db91 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef96c69990819088a1134ecea09099 completed April 27, 2026, 5:03 p.m.
Created at: April 16, 2026, 6:43 p.m.