Triple

T10630403
Position Surface form Disambiguated ID Type / Status
Subject Rainer Wigand E250437 entity
Predicate name P16 FINISHED
Object Rainer Wigand E250437 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: Rainer Wigand | Statement: [Rainer Wigand, name, Rainer Wigand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rainer Wigand
Context triple: [Rainer Wigand, name, Rainer Wigand]
  • A. Rainer Wigand chosen
    Rainer Wigand is a notable individual who shares the surname Wigand and has achieved sufficient recognition to be specifically cited as a prominent bearer of the name.
  • B. Albert Wigand
    Albert Wigand was a German botanist and plant physiologist known for his work on plant morphology and his opposition to Darwin’s theory of evolution.
  • C. Otto Wigand
    Otto Wigand was a 19th-century German publisher known for issuing influential socialist and political works, including early editions of Friedrich Engels’ writings.
  • D. Claus Wigand
    Claus Wigand is a person notable enough to be recognized as a prominent bearer of the surname Wigand.
  • E. Jeffrey Wigand
    Jeffrey Wigand is an American former tobacco executive turned whistleblower who exposed health risks and corporate misconduct in the cigarette industry, most famously depicted in the film "The Insider."
  • 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_69d6aa5993448190a493b790b8f85010 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6df93a2b88190a0f3a52b8e88f54f completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d96bb4bbf08190994ea9123c0b2dab completed April 10, 2026, 9:29 p.m.
Created at: April 8, 2026, 9:01 p.m.