Triple

T3308350
Position Surface form Disambiguated ID Type / Status
Subject Hans von Seisser E69506 entity
Predicate name P16 FINISHED
Object Hans von Seisser E69506 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: Hans von Seisser | Statement: [Hans von Seisser, name, Hans von Seisser]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hans von Seisser
Context triple: [Hans von Seisser, name, Hans von Seisser]
  • A. Hans von Seisser chosen
    Hans von Seisser was a Bavarian police official and head of the Munich police who played a key role in opposing Adolf Hitler’s 1923 Beer Hall Putsch.
  • B. Wilhelm Siegling
    Wilhelm Siegling was a German linguist and philologist known for his pioneering work on the Tocharian languages and their classification within the Indo-European language family.
  • C. Eberhard Schöngarth
    Eberhard Schöngarth was a high-ranking Nazi SS and police leader involved in war crimes and the Holocaust, including participation in the Wannsee Conference.
  • D. Ernst Huber
    Ernst Huber is a relatively obscure individual whose specific notability is unclear from the available information.
  • E. Ernst Göhner
    Ernst Göhner was a prominent Swiss entrepreneur and industrialist known for building a major construction and real estate empire and for his significant philanthropic legacy.
  • 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_69ad859f218081909458d2cebbf57565 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0cc15088190b51c311c6590df04 completed March 8, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c96bf63cfc8190a89a674e0e666134 completed March 29, 2026, 6:14 p.m.
Created at: March 8, 2026, 3:11 p.m.