Triple

T8911488
Position Surface form Disambiguated ID Type / Status
Subject Siegfried E212191 entity
Predicate hasVariant P455 FINISHED
Object Zigfrid E364750 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: Zigfrid | Statement: [Siegfried, hasVariant, Zigfrid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zigfrid
Context triple: [Siegfried, hasVariant, Zigfrid]
  • A. Ulf
    Ulf is a masculine given name of Germanic origin, commonly used in German and Scandinavian countries.
  • B. Hruodperht
    Hruodperht is an early Germanic personal name of Old High German origin that later evolved into the modern given name Rupert.
  • C. Sigfrid of Sweden chosen
    Sigfrid of Sweden was an English missionary bishop and saint traditionally credited with helping to introduce and spread Christianity in early medieval Sweden.
  • D. 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.
  • E. Sigurd Slembe
    Sigurd Slembe is a historical drama by Norwegian writer Bjørnstjerne Bjørnson that portrays the turbulent life of the 12th-century Norwegian pretender Sigurd Slembe.
  • 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_69ca8393b1808190bd4336787ffa2c40 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6523b9348190a7cefac9e73e2004 completed April 1, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc930a38c8190b57127efc824e036 completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 6:55 p.m.