Triple

T3782836
Position Surface form Disambiguated ID Type / Status
Subject Schmidt E85459 entity
Predicate variantOf P4680 FINISHED
Object Schmid E322002 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: Schmid | Statement: [Schmidt, variantOf, Schmid]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schmid
Context triple: [Schmidt, variantOf, Schmid]
  • A. Schmid chosen
    Schmid is a surname most notably associated with Sigi Schmid, a highly successful and influential soccer coach in Major League Soccer and U.S. college soccer.
  • B. Schmidt
    Schmidt is a common German surname borne by numerous notable individuals across fields such as politics, sports, science, and the arts.
  • C. Pewterschmidt
    Pewterschmidt is the wealthy, aristocratic family name of Lois Griffin’s parents in the animated television series "Family Guy."
  • D. Smidovich
    Smidovich is an urban-type settlement in Russia’s Jewish Autonomous Oblast, serving as a local administrative and population center in the region.
  • E. Gütermann
    Gütermann is a German surname most notably associated with the Gütermann family involved in industry and manufacturing, particularly in the production of sewing threads.
  • 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_69aed937fa8881908208ef3801060826 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee3db11108190aa81ee8ed22709fe completed March 9, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f04353a881908e612a10572eb8c5 completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:13 p.m.