Triple

T11192871
Position Surface form Disambiguated ID Type / Status
Subject Osgood Fielding III E264844 entity
Predicate partOfCastWith P14987 FINISHED
Object Sugar Kane Kowalczyk E264842 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: Sugar Kane Kowalczyk | Statement: [Osgood Fielding III, partOfCastWith, Sugar Kane Kowalczyk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sugar Kane Kowalczyk
Context triple: [Osgood Fielding III, partOfCastWith, Sugar Kane Kowalczyk]
  • A. Sugar Kane Kowalczyk chosen
    Sugar Kane Kowalczyk is the ukulele-playing singer and love interest portrayed by Marilyn Monroe in the classic 1959 comedy film "Some Like It Hot."
  • B. Kim Zmeskal
    Kim Zmeskal is an American artistic gymnast and former world all-around champion who became one of the sport’s leading figures in the early 1990s.
  • C. Ryan Warsofsky
    Ryan Warsofsky is an American professional ice hockey coach who serves as the head coach of the NHL’s San Jose Sharks.
  • D. Michael Bolton
    Michael Bolton is an American singer and songwriter known for his powerful, soulful ballads and successful pop and adult contemporary hits, especially in the late 1980s and early 1990s.
  • E. Sam Lipski
    Sam Lipski is an Australian journalist, editor, and commentator known for his work in print and broadcast media and his leadership in Jewish community affairs.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8be025481909d311b587418dfb2 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad00f9148190842bf587a2e4cbdf completed April 19, 2026, 10:22 a.m.
Created at: April 8, 2026, 9:29 p.m.