Triple

T22942328
Position Surface form Disambiguated ID Type / Status
Subject Night Fantasies E569766 entity
Predicate notableRecordingArtist P21110 FINISHED
Object Gilbert Kalish 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: Gilbert Kalish | Statement: [Night Fantasies, notableRecordingArtist, Gilbert Kalish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gilbert Kalish
Context triple: [Night Fantasies, notableRecordingArtist, Gilbert Kalish]
  • A. Gilbert Kalish chosen
    Gilbert Kalish is an American pianist and influential chamber musician known for his performances and advocacy of contemporary classical music.
  • B. Walter Karp
    Walter Karp was an American journalist, historian, and political writer known for his incisive critiques of U.S. political institutions and party politics.
  • C. Hershy Kay
    Hershy Kay was an American composer and orchestrator best known for his collaborations on Broadway musicals and ballets, including major works with Leonard Bernstein and George Balanchine.
  • D. Ossie Schectman
    Ossie Schectman was an American professional basketball player best known for scoring the first basket in NBA history.
  • E. Marvin Jacobs
    Marvin Jacobs was an entrepreneur best known as a founder of the global hospitality and food service company Delaware North.
  • 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819a509481908a3662ef80f757c7 completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:45 p.m.