Triple

T20388753
Position Surface form Disambiguated ID Type / Status
Subject Unhook the Stars E498028 entity
Predicate starring P1507 FINISHED
Object Olek Krupa 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: Olek Krupa | Statement: [Unhook the Stars, starring, Olek Krupa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olek Krupa
Context triple: [Unhook the Stars, starring, Olek Krupa]
  • A. Olek Krupa chosen
    Olek Krupa is a Polish-American character actor known for playing stern, often villainous roles in numerous Hollywood films and television series.
  • B. Ludwik Rajchman
    Ludwik Rajchman was a Polish physician and epidemiologist best known as a leading public health expert for the League of Nations and as a founder of UNICEF.
  • C. Mieczysław Horszowski
    Mieczysław Horszowski was a renowned Polish-American pianist and influential pedagogue celebrated for his exceptionally long performing career and profound interpretations of the classical repertoire.
  • D. Wiktor Kurmanowycz
    Wiktor Kurmanowycz was a notable resident of the historic town of Brzeżany, recognized for his local significance there.
  • E. Bronisław Kaper
    Bronisław Kaper was a Polish-born Hollywood film composer best known for his Academy Award–winning scores and contributions to classic mid-20th-century cinema.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790d9e5881908bde7da9e5e541a0 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.