Triple

T3782835
Position Surface form Disambiguated ID Type / Status
Subject Schmidt E85459 entity
Predicate variantOf P4680 FINISHED
Object Schmitt E85459 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: Schmitt | Statement: [Schmidt, variantOf, Schmitt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schmitt
Context triple: [Schmidt, variantOf, Schmitt]
  • A. Schmidt chosen
    Schmidt is a common German surname borne by numerous notable individuals across fields such as politics, sports, science, and the arts.
  • B. Schneider
    Schneider is a German-origin surname commonly borne by people of German-speaking or Central European descent.
  • C. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • D. Schaffner
    Schaffner is a surname most notably associated with Franklin J. Schaffner, the Academy Award–winning American film director of works such as "Patton" and "Planet of the Apes."
  • E. Schmid
    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.
  • 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.