Triple

T15484624
Position Surface form Disambiguated ID Type / Status
Subject Battle on the Vozha River E377011 entity
Predicate hasParticipant P149 FINISHED
Object Begich E1159175 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: Begich | Statement: [Battle on the Vozha River, hasParticipant, Begich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Begich
Context triple: [Battle on the Vozha River, hasParticipant, Begich]
  • A. Begich chosen
    Begich was a 14th-century Mongol military commander who led the Golden Horde forces against the Grand Duchy of Moscow at the Battle on the Vozha River.
  • B. George Wrangell
    George Wrangell is a model and actor best known for appearing as the sophisticated male figure in the Hathaway Man advertising campaign.
  • C. Kasilof
    Kasilof is a small community on Alaska’s Kenai Peninsula known for its proximity to the Kasilof River and outdoor recreation such as fishing and wildlife viewing.
  • D. Juvenaly of Alaska
    Juvenaly of Alaska was an 18th-century Russian Orthodox monk and one of the first Christian missionaries and martyrs in Alaska, known for bringing Orthodoxy to the native peoples of the region.
  • E. Scott Johnston
    Scott Johnston is a technology executive and entrepreneur best known as a co-founder of Anthropic, an AI safety and research company.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f8e6ff08190b130b3a38f4190e7 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365b3980819094d3ca0b7766009c completed May 9, 2026, 1:27 p.m.
Created at: April 10, 2026, 3:46 a.m.