Triple

T19797953
Position Surface form Disambiguated ID Type / Status
Subject Max Bialystock E475592 entity
Predicate associatedWith P37 FINISHED
Object Ulla NE NERFINISHED

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: Ulla | Statement: [Max Bialystock, associatedWith, Ulla]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulla
Context triple: [Max Bialystock, associatedWith, Ulla]
  • A. Ulla
    Ulla is a river that serves as a tributary of the Dzvina (Western Dvina) in Eastern Europe.
  • B. Ulla chosen
    Ulla is the glamorous, Swedish bombshell secretary and aspiring actress character in the musical comedy "The Producers."
  • C. Aulla
    Aulla is a small historic town in northern Tuscany, Italy, known for its medieval fortifications and strategic location in the Lunigiana region.
  • D. Neilia
    Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
  • E. Elini
    Elini is a small municipality in the central-eastern part of Sardinia, Italy, known for its rural character and traditional Sardinian culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c877288190b56ee7eedea710a3 completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.