Triple

T14488080
Position Surface form Disambiguated ID Type / Status
Subject Bang Bang E359288 entity
Predicate songwriter P1141 FINISHED
Object Anton Zaslavski E1044249 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: Anton Zaslavski | Statement: [Bang Bang, songwriter, Anton Zaslavski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anton Zaslavski
Context triple: [Bang Bang, songwriter, Anton Zaslavski]
  • A. Anton Zaslavski chosen
    Anton Zaslavski, better known by his stage name Zedd, is a Russian-German DJ, record producer, and songwriter recognized for his influential work in electronic dance music and pop.
  • B. Anton Romako
    Anton Romako was a 19th-century Austrian painter known for his psychologically intense portraits and innovative, expressive style that anticipated aspects of modern art.
  • C. Alec Miloslavsky
    Alec Miloslavsky is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
  • D. Andrei Moskvin
    Andrei Moskvin was a prominent Soviet cinematographer renowned for his influential work on classic Russian films of the early to mid-20th century.
  • E. Alexander Dvornikov
    Alexander Dvornikov is a Russian Army general known for his senior command roles in Russia’s military operations in Syria and Ukraine.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de930bd1d48190abd6c47da0a3ebc8 completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec86c6c6c8190957e398e3dcdd840 completed May 9, 2026, 5:38 a.m.
Created at: April 10, 2026, 1:20 a.m.