Triple

T13112174
Position Surface form Disambiguated ID Type / Status
Subject Michael Starobin E310997 entity
Predicate notableWork P4 FINISHED
Object Rags E687606 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 | Statement: [Michael Starobin, notableWork, Rags]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rags
Context triple: [Michael Starobin, notableWork, Rags]
  • A. 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.
  • B. Rags chosen
    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. The Rag
    The Rag is the informal name of the Army and Navy Club, a historic private members’ club in London traditionally associated with British military officers.
  • 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. Rags to Rufus
    Rags to Rufus is a 1974 funk and soul album by Rufus featuring Chaka Khan that helped establish the band’s mainstream success.
  • 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_69d9817f8ee8819084078b4bec5e4f18 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e27f5c4481909bc323c9d0c83dc9 completed May 3, 2026, 5:51 a.m.
Created at: April 9, 2026, 9:05 p.m.