Triple

T11591887
Position Surface form Disambiguated ID Type / Status
Subject Lennie Niehaus E274901 entity
Predicate familyName P18 FINISHED
Object Niehaus E662418 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: Niehaus | Statement: [Lennie Niehaus, familyName, Niehaus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Niehaus
Context triple: [Lennie Niehaus, familyName, Niehaus]
  • A. Niehaus chosen
    Niehaus is a surname of German origin borne by various notable individuals across fields such as sports, broadcasting, and academia.
  • B. Neuhaus
    Neuhaus is a locality within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
  • C. Naast
    Naast is a village in the Walloon region of Belgium that forms part of the municipality of Soignies in the province of Hainaut.
  • D. Nyhausen
    Nyhausen is a locality in Germany historically noted as the birthplace of the Swedish nobleman and soldier Philip Christoph von Königsmarck.
  • E. Niehove
    Niehove is a historic terp village in the Dutch province of Groningen, known for its distinctive radial layout and well-preserved traditional architecture.
  • 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_69d6aae6b14c81908dc5a74bad7591f9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8946594348190935106132fd18028 completed April 10, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69e714634b308190bdcb761f8b6712e7 completed April 21, 2026, 6:08 a.m.
Created at: April 8, 2026, 9:38 p.m.