Triple

T9507788
Position Surface form Disambiguated ID Type / Status
Subject Der Ring des Nibelungen E229313 entity
Predicate mainCharacter P1183 FINISHED
Object Alberich E361362 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: Alberich | Statement: [Der Ring des Nibelungen, mainCharacter, Alberich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alberich
Context triple: [Der Ring des Nibelungen, mainCharacter, Alberich]
  • A. Alberich chosen
    Alberich is a figure from Germanic and Norse legend, often depicted as a powerful dwarf or elf associated with treasure and magical knowledge.
  • B. Alberich Zwyssig
    Alberich Zwyssig was a Swiss monk and composer best known for writing the music to the Swiss national anthem, the "Swiss Psalm."
  • C. Willigis
    Willigis was a powerful 10th-century German churchman and statesman who rose from humble origins to become one of the most influential political and ecclesiastical figures of the Holy Roman Empire.
  • D. Ingenried
    Ingenried is a small rural municipality in the Weilheim-Schongau district of Bavaria in southern Germany.
  • E. Wulfram
    Wulfram is an alternative spelling or variant form of the name Wolfram, which is associated with both a given name and the chemical element tungsten.
  • 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_69ca847611c48190a28c028644198c75 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98543b1881908b537abdc1d2f9c0 completed April 1, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a2494c081908579592fa0fee90b completed April 4, 2026, 4:19 p.m.
Created at: March 30, 2026, 7:57 p.m.