Triple

T17669008
Position Surface form Disambiguated ID Type / Status
Subject Nikolaus Erlendsson E440463 entity
Predicate givenName P17 FINISHED
Object Nikolaus 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: Nikolaus | Statement: [Nikolaus Erlendsson, givenName, Nikolaus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nikolaus
Context triple: [Nikolaus Erlendsson, 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. Nikolaus Kryfftz
    Nikolaus Kryfftz is the birth name of Nicholas of Cusa, the influential 15th-century German philosopher, theologian, jurist, and cardinal known for his contributions to Renaissance thought and early modern philosophy.
  • D. Niklaus
    Niklaus is a masculine given name of Germanic origin, notably borne by Swiss computer scientist Niklaus Wirth.
  • E. Gustav
    Gustav is a masculine given name of German origin, borne by several notable historical figures including scientists, artists, and royalty.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6723d081908eaa57eef6d70bd0 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 9:58 a.m.