Triple

T7013106
Position Surface form Disambiguated ID Type / Status
Subject Faust, Part One E162630 entity
Predicate containsCharacter P5716 FINISHED
Object Wagner E106111 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: Wagner | Statement: [Faust, Part One, containsCharacter, Wagner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wagner
Context triple: [Faust, Part One, containsCharacter, Wagner]
  • A. Wagner chosen
    Wagner is a surname most famously associated with Honus Wagner, one of the greatest early baseball players in Major League history.
  • B. Richard Wagner
    Richard Wagner was a 19th-century German composer best known for his revolutionary operas and music dramas, which profoundly shaped Western classical music and artistic thought.
  • C. Siegfried Wagner
    Siegfried Wagner was a German composer and conductor of the late Romantic era, best known for directing the Bayreuth Festival and continuing the musical legacy of his father, Richard Wagner.
  • D. Richard Strauss
    Richard Strauss was a prominent late-Romantic and early modern German composer and conductor renowned for his operas, tone poems, and significant influence on 20th-century classical music.
  • E. WAGN
    WAGN (West Anglia Great Northern) was a former British train operating company that ran commuter and regional passenger rail services from London to destinations in East Anglia and the north of London before the franchise was restructured.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dc58b04c8190af4913dbaf43c3d4 completed March 27, 2026, 7:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a4ff6148190a7a453328507fd6b completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:34 p.m.