Triple

T21137576
Position Surface form Disambiguated ID Type / Status
Subject Peter Stein E520851 entity
Predicate familyName P18 FINISHED
Object Stein 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: Stein | Statement: [Peter Stein, familyName, Stein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stein
Context triple: [Peter Stein, familyName, Stein]
  • A. Stein chosen
    Stein is a German-origin surname borne by numerous notable individuals across fields such as exploration, philosophy, literature, and politics.
  • B. Stein
    Stein is a municipality in the Dutch province of Limburg, known for its industrial heritage and location along the Meuse River near the Belgian border.
  • C. Stein
    Stein is a nearby settlement to Halistra, likely a small village or town in the same region.
  • D. Stein (SG)
    Stein (SG) is a municipality in the canton of St. Gallen in northeastern Switzerland, known for its rural Alpine setting and proximity to the Toggenburg region.
  • E. Steinman
    Steinman is a surname most notably associated with David B. Steinman, an influential American civil engineer and bridge designer.
  • 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235b89188190a6209c0a1839ee03 completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.