Triple

T16546612
Position Surface form Disambiguated ID Type / Status
Subject Vladimir Sukhomlinov E401958 entity
Predicate occupation P3 FINISHED
Object general E38759 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: general | Statement: [Vladimir Sukhomlinov, occupation, general]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: general
Context triple: [Vladimir Sukhomlinov, occupation, general]
  • A. General chosen
    A General is a high-ranking military officer, typically commanding large units or formations and serving as one of the senior leaders within an armed force.
  • B. GEN
    GEN is the four-star general officer rank in the United States Army, representing the highest peacetime rank typically held by senior military leaders and commanders.
  • C. General_Category
    General_Category is a Unicode character property that classifies characters into broad categories such as letters, numbers, punctuation, and symbols for text processing and analysis.
  • D. GD
    GD is the stock ticker symbol for General Dynamics, a major American aerospace and defense corporation.
  • E. GD
    GD is the vehicle registration code assigned to the town of Aalen in the German state of Baden-Württemberg.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e34fbe3fb48190bad143b50dc73c7e completed April 18, 2026, 9:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067b4f6448190812632ab9023b665 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.