Triple

T7354159
Position Surface form Disambiguated ID Type / Status
Subject It Happened to Jane E169580 entity
Predicate storyBy P1955 FINISHED
Object Norman Katkov E659205 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: Norman Katkov | Statement: [It Happened to Jane, storyBy, Norman Katkov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Katkov
Context triple: [It Happened to Jane, storyBy, Norman Katkov]
  • A. Norman Katkov chosen
    Norman Katkov was an American screenwriter and television writer known for his work on mid-20th-century films and TV series.
  • B. Edward Zorinsky
    Edward Zorinsky was a U.S. Senator from Nebraska and former mayor of Omaha known for his moderate Democratic politics and service in the late 20th century.
  • C. Julius Novick
    Julius Novick was an American theater critic and scholar known for his insightful writing on contemporary drama and performance.
  • D. Victor Kugler
    Victor Kugler was one of the Dutch helpers who risked his life to hide Anne Frank and her family during the Nazi occupation of the Netherlands.
  • E. Samuel Skavronsky
    Samuel Skavronsky was the father of Marta Samuilovna Skavronskaya, who later became Empress Catherine I of Russia.
  • 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_69c68a59f2288190877ca15c19b1e822 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f10e71fc81909307ca39a61142d3 completed March 27, 2026, 9:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802b490cc8190bbbaf7825e293566 completed March 28, 2026, 4:32 p.m.
Created at: March 27, 2026, 3:05 p.m.