Triple

T21610198
Position Surface form Disambiguated ID Type / Status
Subject Jakob Steiner E533284 entity
Predicate familyName P18 FINISHED
Object Steiner 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: Steiner | Statement: [Jakob Steiner, familyName, Steiner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steiner
Context triple: [Jakob Steiner, familyName, Steiner]
  • A. Steiner chosen
    Steiner is a common German-language surname borne by numerous notable individuals across fields such as music, philosophy, and science.
  • B. Steinert
    Steinert is the commonly used name for Hamilton High School East, a public high school in Hamilton Township, New Jersey.
  • C. Shteiner
    Shteiner is an alternative spelling or transliteration of the surname Steiner, which is of German origin and borne by various notable individuals.
  • D. Steiner Tor
    Steiner Tor is a historic city gate and iconic symbol of Krems an der Donau in Lower Austria, dating back to the medieval fortifications of the town.
  • E. Stüler
    Stüler is the surname of Friedrich August Stüler, a prominent 19th-century Prussian architect known for his neoclassical and neo-Renaissance designs.
  • 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e7d1388190922a90cb91ec9fc4 completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.