Triple

T5254524
Position Surface form Disambiguated ID Type / Status
Subject Pekar E118666 entity
Predicate hasVariant P455 FINISHED
Object Pekář E495535 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: Pekář | Statement: [Pekar, hasVariant, Pekář]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pekář
Context triple: [Pekar, hasVariant, Pekář]
  • A. Bake Baker
    Bake Baker is a charming sailor and dancer portrayed by Fred Astaire in the 1936 musical film "Follow the Fleet."
  • B. Baker
    Baker was the second of the 1946 Operation Crossroads nuclear tests at Bikini Atoll, notable as an underwater detonation used to study the effects of nuclear explosions on naval ships and equipment.
  • C. Baker
    Baker is a common English occupational surname originally given to people who baked bread or worked in a bakery.
  • D. Baker
    Baker is a small desert town in San Bernardino County, California, known as a roadside stop and gateway to Death Valley for travelers along Interstate 15 between Los Angeles and Las Vegas.
  • E. Pekár chosen
    Pekár is a Central European surname of likely Czech or Slovak origin, commonly associated with individuals from that linguistic and cultural region.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7ba1cca88190bebd516851b9bf7f completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe7708108190ac772f7b2d5ab02a completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.