Triple

T9328860
Position Surface form Disambiguated ID Type / Status
Subject Robert Wagner E224464 entity
Predicate familyName P18 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: [Robert Wagner, familyName, Wagner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wagner
Context triple: [Robert Wagner, familyName, 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. Wagner
    Wagner is a common Portuguese given name, notably borne by Brazilian actor and filmmaker Wagner Moura.
  • C. 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.
  • D. Richard Wagner (writer)
    Richard Wagner is a Romanian-born German writer and essayist known for his works on life under dictatorship and his association with fellow author Herta Müller.
  • E. 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.
  • 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_69ca8427a0c08190b749831d5ea98f02 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd37ab90ac8190b5c73f08dd091731 completed April 1, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7f345d88190912b0f10e7ab68be completed April 4, 2026, 8:12 a.m.
Created at: March 30, 2026, 7:39 p.m.