Triple

T2178138
Position Surface form Disambiguated ID Type / Status
Subject Herman De Croo E48578 entity
Predicate givenName P17 FINISHED
Object Herman E48578 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 De Croo, givenName, Herman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herman
Context triple: [Herman De Croo, givenName, 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 chosen
    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. Hermann
    Hermann is a German surname borne by various notable individuals across fields such as philosophy, science, and the arts.
  • D. Hermann
    Hermann Minkowski was a German mathematician best known for developing the geometric formulation of special relativity using four-dimensional spacetime.
  • E. Harold
    Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbeee0a988190b0729f9070aa4503 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da14e3881909f0beda339599938 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.