Triple

T22656516
Position Surface form Disambiguated ID Type / Status
Subject Vol. 3... Life and Times of S. Carter E559239 entity
Predicate featuresArtist P1952 FINISHED
Object Beanie Sigel NE NERFINISHED

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: Beanie Sigel | Statement: [Vol. 3... Life and Times of S. Carter, featuresArtist, Beanie Sigel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beanie Sigel
Context triple: [Vol. 3... Life and Times of S. Carter, featuresArtist, Beanie Sigel]
  • A. Beanie Sigel chosen
    Beanie Sigel is an American rapper and actor from Philadelphia known for his gritty lyricism and work with Roc-A-Fella Records.
  • B. Nick Siegel
    Nick Siegel is a musician best known as a member of the indie/emo rock band The Casket Lottery.
  • C. Michele Little
    Michele Little is an American former film and television actress known for her work in the 1980s and early 1990s.
  • D. Josh Srebnick
    Josh Srebnick is a central character in the film "While We're Young," portrayed as a middle-aged documentary filmmaker grappling with ambition, authenticity, and aging in contrast to a younger creative couple.
  • E. John-Michael Tebelak
    John-Michael Tebelak was an American playwright and director best known for conceiving and originally directing the musical "Godspell."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765c62bc8190b3fcde76d6b6dfb6 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:06 p.m.