Triple

T4770012
Position Surface form Disambiguated ID Type / Status
Subject 716th Infantry Division E105903 entity
Predicate hasCommander P1197 FINISHED
Object Wilhelm Richter E105903 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: Wilhelm Richter | Statement: [716th Infantry Division, hasCommander, Wilhelm Richter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhelm Richter
Context triple: [716th Infantry Division, hasCommander, Wilhelm Richter]
  • A. Wilhelm Richter chosen
    Wilhelm Richter was a German Wehrmacht general who commanded the 716th Infantry Division defending the Normandy coast during the Allied D-Day landings in World War II.
  • B. Heinrich von Liebieg
    Heinrich von Liebieg was a prominent German industrialist and art patron whose collection and philanthropy significantly supported cultural institutions in Germany.
  • C. Friedrich Wöhler
    Friedrich Wöhler was a pioneering 19th-century German chemist best known for synthesizing urea from inorganic compounds, a landmark achievement that helped establish modern organic chemistry.
  • D. Robert Bunsen
    Robert Bunsen was a German chemist best known for co-developing the Bunsen burner and pioneering the field of spectrum analysis.
  • E. Berzelius
    Berzelius is one of Yale University's historic senior secret societies, known for its select membership and longstanding campus traditions.
  • 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_69bd43f226fc8190b867cc249c2a9042 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd655c9a2c8190adce3e2a8a1fa0a7 completed March 20, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a94e340819080fe92a2024abdaf completed March 21, 2026, 6:28 a.m.
Created at: March 20, 2026, 1:21 p.m.