Triple

T18937075
Position Surface form Disambiguated ID Type / Status
Subject Siegmund Jakob Baumgarten E463276 entity
Predicate givenName P17 FINISHED
Object Siegmund NE NERFINISHED

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: Siegmund | Statement: [Siegmund Jakob Baumgarten, givenName, Siegmund]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Siegmund
Context triple: [Siegmund Jakob Baumgarten, givenName, Siegmund]
  • A. Siegmund chosen
    Siegmund is a tragic hero and mortal Wälsung warrior in Richard Wagner’s opera "Die Walküre," central to the epic family saga of the Ring cycle.
  • B. Sigfred
    Sigfred was a Viking leader known for commanding Norse forces during the late 9th-century siege of Paris.
  • C. Ingenried
    Ingenried is a small rural municipality in the Weilheim-Schongau district of Bavaria in southern Germany.
  • D. Ingemund
    Ingemund is a Scandinavian masculine given name of Old Norse origin, historically borne by several notable figures in Sweden and Norway.
  • E. Siegfried von Waldenburg
    Siegfried von Waldenburg was a German Wehrmacht officer and general during World War II, noted for his leadership of armored units on the Western Front.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3e8fdb48190ae70cb23c5bc2c97 completed April 20, 2026, 7:21 a.m.
Created at: April 10, 2026, 11:59 a.m.