Triple

T19952685
Position Surface form Disambiguated ID Type / Status
Subject The Cyrkle E479598 entity
Predicate manager P2962 FINISHED
Object Brian Epstein 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: Brian Epstein | Statement: [The Cyrkle, manager, Brian Epstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Epstein
Context triple: [The Cyrkle, manager, Brian Epstein]
  • A. Brian Epstein chosen
    Brian Epstein was the English music entrepreneur best known as the manager who discovered and guided The Beatles to international fame in the 1960s.
  • B. George L. Harrison
    George L. Harrison was an American lawyer and banker who served as president of the Federal Reserve Bank of New York in the early 20th century.
  • C. Allen Klein
    Allen Klein was a powerful and controversial music business manager best known for managing the Beatles and the Rolling Stones in the late 1960s and early 1970s.
  • D. Al Bell
    Al Bell is an American record producer and music executive best known for his influential leadership at Stax Records during the 1960s and 1970s soul music era.
  • E. Robert Stigwood
    Robert Stigwood was an influential music and film impresario and manager, best known for guiding the careers of Cream and the Bee Gees and producing hit films like Saturday Night Fever and Grease.
  • 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65aee23488190bd92c1593fbc241c completed April 20, 2026, 4:57 p.m.
Created at: April 10, 2026, 1:54 p.m.