Triple

T15378217
Position Surface form Disambiguated ID Type / Status
Subject John Benedetto E367725 entity
Predicate notableWork P4 FINISHED
Object Rags to Riches E291894 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: Rags to Riches | Statement: [John Benedetto, notableWork, Rags to Riches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rags to Riches
Context triple: [John Benedetto, notableWork, Rags to Riches]
  • A. Rags to Riches chosen
    Rags to Riches is a popular 1953 pop song performed by Tony Bennett that became one of his signature hits.
  • B. Road to the Riches
    "Road to the Riches" is the influential 1989 debut studio album by Queens rapper Kool G Rap & DJ Polo, noted for its complex lyricism and early mafioso rap themes.
  • C. The Rich Boy
    "The Rich Boy" is a short story by F. Scott Fitzgerald that explores themes of wealth, privilege, and emotional detachment through the life of a wealthy young man in Jazz Age America.
  • D. Rags
    Rags is a 1986 Broadway musical with music by Charles Strouse that explores the struggles and aspirations of Jewish immigrants in early 20th-century America.
  • E. Rags
    Rags is a lesser-known Broadway musical by composer Stephen Schwartz that explores the struggles and hopes of Jewish immigrants in early 20th-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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e6044488190b0499db109f7f821 completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b56dd1c81909a3933330e85fe0e completed May 9, 2026, 10:24 a.m.
Created at: April 10, 2026, 3:19 a.m.