Triple

T1868553
Position Surface form Disambiguated ID Type / Status
Subject Valentin Pavlov E34978 entity
Predicate familyName P18 FINISHED
Object Pavlov E114507 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: Pavlov | Statement: [Valentin Pavlov, familyName, Pavlov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pavlov
Context triple: [Valentin Pavlov, familyName, Pavlov]
  • A. Ivan Pavlov chosen
    Ivan Pavlov was a Russian physiologist best known for his pioneering research on classical conditioning, which profoundly shaped the fields of psychology and behaviorism.
  • B. Murray Sidman
    Murray Sidman was an American behavioral psychologist best known for his pioneering work in experimental analysis of behavior and the development of the Sidman avoidance procedure.
  • C. Pavlovich
    Pavlovich is the Russian patronymic indicating "son of Pavel," used in the full name of Emperor Alexander I of Russia.
  • D. Tolman
    Tolman is a surname most notably associated with Richard C. Tolman, an American physicist and physical chemist known for his work in statistical mechanics and cosmology.
  • E. Muravyov-Karsky
    Muravyov-Karsky was a 19th-century Russian general best known for his prominent role in the Russo-Turkish wars and the conquest of Kars in the Caucasus.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb0b7e4548190a3761133fbbb7b81 completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1dab2a481909adb0a3132348cee completed March 8, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:34 p.m.