Triple

T6754431
Position Surface form Disambiguated ID Type / Status
Subject George David Weiss E154417 entity
Predicate familyName P18 FINISHED
Object Weiss E68163 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: Weiss | Statement: [George David Weiss, familyName, Weiss]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weiss
Context triple: [George David Weiss, familyName, Weiss]
  • A. Weiss chosen
    Weiss is a common German-language surname borne by numerous notable individuals across fields such as entertainment, science, and politics.
  • B. Weiss/Manfredi
    Weiss/Manfredi is a New York–based architecture and design firm known for its innovative, landscape-integrated cultural and institutional projects.
  • C. Weis
    Weis is a surname most prominently associated with Charlie Weis, an American football coach known for his tenure with the Notre Dame Fighting Irish and in the NFL.
  • D. Fall Weiss
    Fall Weiss was the codename for Nazi Germany’s military plan to invade Poland in September 1939, marking the beginning of World War II in Europe.
  • E. Schwaz
    Schwaz is a historic silver-mining town in the Austrian state of Tyrol, known for its medieval center and alpine setting.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1f465388190858207ca4c48f18d completed March 27, 2026, 6:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b1e477481909e4fca040f4894f4 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:11 p.m.