Triple

T11373429
Position Surface form Disambiguated ID Type / Status
Subject Georgy Zakharov E269401 entity
Predicate militaryRank P342 FINISHED
Object Colonel General E624061 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: Colonel General | Statement: [Georgy Zakharov, militaryRank, Colonel General]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colonel General
Context triple: [Georgy Zakharov, militaryRank, Colonel General]
  • A. Colonel General chosen
    Colonel General is a high-ranking military officer rank, typically above major general and lieutenant general and just below the highest general ranks in several countries' armed forces.
  • B. Marechal
    Marechal is the highest Portuguese Army rank, equivalent to a field marshal, typically reserved for wartime or exceptional command.
  • C. Kommandant-Generaal
    Kommandant-Generaal was the Afrikaans title for the highest-ranking military commander of the South African Republic’s armed forces.
  • D. Oberbefehlshaber Süd
    Oberbefehlshaber Süd was the German high command authority responsible for directing Axis military operations in the southern Mediterranean and North African theaters during World War II.
  • E. Colonel Ehrhardt
    Colonel Ehrhardt is a bumbling, self-important Nazi officer who serves as a key comic antagonist in the World War II satire film "To Be or Not to Be."
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea8d244c8190b865260338edb532 completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5568e3e108190ab843236b417f150 completed April 19, 2026, 10:26 p.m.
Created at: April 8, 2026, 9:33 p.m.