Triple

T16835718
Position Surface form Disambiguated ID Type / Status
Subject Herman Wouk E409271 entity
Predicate notableWork P4 FINISHED
Object Marjorie Morningstar E818470 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: Marjorie Morningstar | Statement: [Herman Wouk, notableWork, Marjorie Morningstar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marjorie Morningstar
Context triple: [Herman Wouk, notableWork, Marjorie Morningstar]
  • A. Marjorie Morningstar chosen
    Marjorie Morningstar is the title character of Herman Wouk’s 1955 novel, a young Jewish woman in mid-20th-century New York whose coming-of-age story explores love, ambition, and cultural expectations.
  • B. Sadie Miller
    Sadie Miller is a British actress and writer, best known for continuing her mother Elisabeth Sladen’s legacy by voicing Sarah Jane Smith in Doctor Who audio dramas.
  • C. Gemma Arrowsmith
    Gemma Arrowsmith is a British comedy writer, performer, and impressionist known for her work on radio and television sketch shows.
  • D. Elizabeth Logue
    Elizabeth Logue is an American actress best known for her work in film and television during the mid-20th century.
  • E. Jennie Gerhardt
    Jennie Gerhardt is a naturalist novel by American author Theodore Dreiser that portrays the struggles of a poor young woman entangled in class, morality, and social injustice in late 19th-century America.
  • 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_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b34d49d08190aa62f05d67244584 completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb15c9f48190a4d73bb08a15beb4 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:23 a.m.