Triple

T15409879
Position Surface form Disambiguated ID Type / Status
Subject Walter Budwing E368557 entity
Predicate familyName P18 FINISHED
Object Budwing E1115054 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: Budwing | Statement: [Walter Budwing, familyName, Budwing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Budwing
Context triple: [Walter Budwing, familyName, Budwing]
  • A. Budwing chosen
    Budwing is a surname most notably associated with the fictional character Danny Budwing from the children’s novel "The Phantom Tollbooth."
  • B. Butka
    Butka is a rural locality in Russia best known as the birthplace of former Russian president Boris Yeltsin.
  • C. Bisztynek
    Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
  • D. Bobowa
    Bobowa is a small historic town in southern Poland known for its traditional bobbin lace-making and Jewish heritage.
  • E. Pużak
    Pużak is a Polish surname most notably associated with Kazimierz Pużak, a prominent socialist politician and resistance activist in 20th-century Poland.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea4f13c819085d26fd32b5dca6f completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135d65988190b35392bdf1e45985 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:20 a.m.