Triple

T14971626
Position Surface form Disambiguated ID Type / Status
Subject Nikolaus Selnecker E373333 entity
Predicate givenName P17 FINISHED
Object Nikolaus E52441 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: Nikolaus | Statement: [Nikolaus Selnecker, givenName, Nikolaus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikolaus
Context triple: [Nikolaus Selnecker, givenName, Nikolaus]
  • A. Nikolaus chosen
    Nikolaus is the traditional German figure based on Saint Nicholas who brings small gifts to children on the eve of December 6th.
  • B. Wilhelm
    Wilhelm is a Germanic given name, equivalent to William, historically borne by numerous European nobles, rulers, and notable figures.
  • C. Niklaus
    Niklaus is a masculine given name of Germanic origin, notably borne by Swiss computer scientist Niklaus Wirth.
  • D. Gustav
    Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
  • E. Nikolaus Hieronymus Gundling
    Nikolaus Hieronymus Gundling was an 18th-century German jurist, philosopher, and professor known for his influential role in the intellectual and academic life of the Halle Enlightenment.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e59a7c8190a1634a706ea68fda completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dc4715c81908b4745996d660f7c completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 2:50 a.m.