Triple

T13107166
Position Surface form Disambiguated ID Type / Status
Subject Rags to Rufus E310872 entity
Predicate includesSong P7178 FINISHED
Object Rags to Rufus E310872 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 Rufus | Statement: [Rags to Rufus, includesSong, Rags to Rufus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rags to Rufus
Context triple: [Rags to Rufus, includesSong, Rags to Rufus]
  • A. Rags to Rufus chosen
    Rags to Rufus is a 1974 funk and soul album by Rufus featuring Chaka Khan that helped establish the band’s mainstream success.
  • B. 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.
  • C. 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.
  • D. Riff-Raff
    Riff-Raff is a 1991 British social-realist drama film directed by Ken Loach that follows the struggles of construction workers living on the margins of society.
  • E. Rufus
    Rufus is the hapless yet determined protagonist of Kevin Smith’s film "Dogma," who becomes entangled in a cosmic battle over Catholic doctrine.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98154c9f48190aeca779d97151759 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27a325c8190a5c0f1a582340078 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:05 p.m.