Triple

T395365
Position Surface form Disambiguated ID Type / Status
Subject Random House E8970 entity
Predicate hasEditor P1954 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: [Random House, hasEditor, Bennett Cerf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bennett Cerf
Context triple: [Random House, hasEditor, 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. Blanche Knopf
    Blanche Knopf was an influential American publisher and co-founder of the Alfred A. Knopf publishing house, known for championing modernist and international literature.
  • C. Sidney Verba
    Sidney Verba was a prominent American political scientist renowned for his pioneering work on political participation, comparative politics, and civic culture.
  • D. Hugh Johnson
    Hugh Johnson was an American soldier, lawyer, and government official best known for directing the National Recovery Administration during the New Deal era.
  • E. Henry Luce
    Henry Luce was an influential American magazine publisher and media magnate who co-founded Time Inc. and helped shape 20th-century journalism and public opinion.
  • 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_69a2e7f55c60819097aff65ea2ca2832 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec792dd081909b6b18a854139f8c completed Feb. 28, 2026, 1:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a413f1148481908b4a25355ee07069 completed March 1, 2026, 10:24 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.