Triple

T15820412
Position Surface form Disambiguated ID Type / Status
Subject Harpe E383590 entity
Predicate notableBearer P458 FINISHED
Object Josef Harpe E81273 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: Josef Harpe | Statement: [Harpe, notableBearer, Josef Harpe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josef Harpe
Context triple: [Harpe, notableBearer, Josef Harpe]
  • A. Josef Harpe chosen
    Josef Harpe was a German Wehrmacht general during World War II who commanded Army Group A on the Eastern Front.
  • B. Wilhelm Bittrich
    Wilhelm Bittrich was a German Waffen-SS general and panzer corps commander during World War II, noted for his role in major battles on both the Eastern and Western Fronts.
  • C. Christoph Huber
    Christoph Huber is an Austrian immunologist and entrepreneur best known as a co-founder of the biotechnology company BioNTech, which developed one of the first mRNA-based COVID-19 vaccines.
  • D. Wilhelm Batz
    Wilhelm Batz was a German Luftwaffe fighter ace of World War II credited with over 200 aerial victories on the Eastern Front.
  • E. Franz Jäger
    Franz Jäger was an architect known for designing the historic Theater an der Wien in Vienna, Austria.
  • 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_69d86da2858c819090cc8481e7207b6e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e0c4a6e6748190acb0791bd465587f completed April 16, 2026, 11:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9997e0048190b0c00a5a0ff561c9 completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.