Triple

T8527082
Position Surface form Disambiguated ID Type / Status
Subject Sylvia Sidney E201843 entity
Predicate spouse P13 FINISHED
Object Bennett Cerf E50709 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: Bennett Cerf | Statement: [Sylvia Sidney, spouse, Bennett Cerf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bennett Cerf
Context triple: [Sylvia Sidney, spouse, Bennett Cerf]
  • A. Bennett Cerf chosen
    Bennett Cerf was an American publisher, humorist, and co-founder of the publishing house Random House, known for popularizing many major 20th-century authors.
  • B. André Schiffrin
    André Schiffrin was a prominent French-American publisher and intellectual known for his influential leadership at Pantheon Books and his critiques of corporate control in the publishing industry.
  • C. Harold Ross
    Harold Ross was an American journalist and editor best known as the founding editor of the influential magazine The New Yorker.
  • D. Jason Epstein
    Jason Epstein was an influential American book editor and publisher known for co-founding The New York Review of Books and pioneering the trade paperback format.
  • E. Edwin H. Knopf
    Edwin H. Knopf was an American film producer and director active during Hollywood’s studio era, known for his work on a variety of mid-20th-century motion pictures.
  • 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_69ca83228b24819085d22e7dc99f5d94 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6477100819081fa20cb6b8ea3d7 completed March 31, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d49c1408190b7c23739409d1e3d completed April 2, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:16 p.m.