Triple

T5439116
Position Surface form Disambiguated ID Type / Status
Subject Konrad Lorenz E122086 entity
Predicate name P16 FINISHED
Object Konrad Lorenz E122086 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: Konrad Lorenz | Statement: [Konrad Lorenz, name, Konrad Lorenz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konrad Lorenz
Context triple: [Konrad Lorenz, name, Konrad Lorenz]
  • A. Konrad Lorenz chosen
    Konrad Lorenz was an Austrian zoologist and ethologist renowned as a founder of modern ethology and a Nobel Prize laureate for his pioneering work on animal behavior and imprinting.
  • B. Niko Tinbergen
    Niko Tinbergen was a pioneering Dutch ethologist and Nobel Prize–winning biologist known for his foundational work on animal behavior and the formulation of the four questions framework in ethology.
  • C. Karl von Frisch
    Karl von Frisch was an Austrian ethologist and Nobel Prize–winning zoologist renowned for his pioneering research on honeybee communication and sensory perception.
  • D. Luuk Tinbergen
    Luuk Tinbergen was a Dutch ornithologist and ecologist known for his research on bird behavior and population dynamics.
  • E. Jakob von Uexkull
    Jakob von Uexkull is a Swedish-German writer and activist best known for creating and promoting the Right Livelihood Award, often referred to as the “Alternative Nobel Prize.”
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91be61dc819087f4a77bdc5ff382 completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3ad3a3d88190bacde12f515d9971 completed March 22, 2026, 12:41 a.m.
Created at: March 20, 2026, 2:07 p.m.