Triple

T160260
Position Surface form Disambiguated ID Type / Status
Subject Husky E3267 entity
Predicate commander P1061 FINISHED
Object Albert Kesselring E2582 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: Albert Kesselring | Statement: [Husky, commander, Albert Kesselring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albert Kesselring
Context triple: [Husky, commander, Albert Kesselring]
  • A. Albert Kesselring chosen
    Albert Kesselring was a senior German Luftwaffe field marshal during World War II, known for commanding Axis forces in multiple theaters including Italy and North Africa.
  • B. Adolf Galland
    Adolf Galland was a renowned German fighter ace and senior Luftwaffe commander during World War II, credited with over 100 aerial victories.
  • C. Hugo Sperrle
    Hugo Sperrle was a senior German Luftwaffe field marshal who played a major role in air operations during the Spanish Civil War and World War II, including the Battle of Britain.
  • D. Manfred Rommel
    Manfred Rommel was a German politician and long-serving mayor of Stuttgart, known for his liberal views and efforts at postwar reconciliation.
  • E. Erich von Manstein
    Erich von Manstein was a prominent German field marshal of the Second World War, known for his strategic planning in campaigns such as the invasion of France and operations on the Eastern Front.
  • 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_69a2527757ec819090b8becb2cf1a862 completed Feb. 28, 2026, 2:27 a.m.
NER Named-entity recognition batch_69a25856d934819095460b2ea566eb6b completed Feb. 28, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69a40348b4f08190bdb3f7085d5db930 completed March 1, 2026, 9:13 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.