Triple

T3535114
Position Surface form Disambiguated ID Type / Status
Subject Herman C. Krannert E74751 entity
Predicate hasGivenName P17 FINISHED
Object Herman E269660 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: Herman | Statement: [Herman C. Krannert, hasGivenName, Herman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herman
Context triple: [Herman C. Krannert, hasGivenName, Herman]
  • A. Herman
    Herman is a surname most notably associated with Edward S. Herman, an American economist, media analyst, and critic of U.S. foreign policy.
  • B. Herman
    Herman is the given name of Belgian politician Herman De Croo, a long-serving liberal statesman and former President of the Belgian Chamber of Representatives.
  • C. Herman chosen
    Herman is the middle name of legendary American baseball player Babe Ruth, whose full name was George Herman Ruth Jr.
  • D. Hermann
    Hermann is a German surname borne by various notable individuals across fields such as philosophy, science, and the arts.
  • E. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • 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_69ad85d1a3948190931fd1ea1f49717b completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbcc4c1d081908938efb71938e1a3 completed March 8, 2026, 6:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bcf7ffc81909242cf67f5aa7b3d completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:19 p.m.