Triple

T5074321
Position Surface form Disambiguated ID Type / Status
Subject 18th Army E114355 entity
Predicate commander P1061 FINISHED
Object Herbert Loch E238702 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: Herbert Loch | Statement: [18th Army, commander, Herbert Loch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herbert Loch
Context triple: [18th Army, commander, Herbert Loch]
  • A. Herbert Loch chosen
    Herbert Loch was a German general in the Wehrmacht during World War II who held several high-level command positions on the Eastern Front.
  • B. Herbert Hainer
    Herbert Hainer is a German businessman best known as the former long-time CEO of Adidas and current president of FC Bayern Munich.
  • C. Walter Wottitz
    Walter Wottitz was a French cinematographer best known for his Academy Award-winning work on the World War II epic film "The Longest Day."
  • D. Adolf Borchers
    Adolf Borchers was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
  • E. Georg Lindemann
    Georg Lindemann was a German general in the Wehrmacht who held high-level command positions on the Eastern Front during World War II.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd74d0be1c819081b26235fe602a30 completed March 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec35e7b848190bbb4cea9d09531e0 completed March 21, 2026, 4:12 p.m.
Created at: March 20, 2026, 1:39 p.m.