Triple

T13695561
Position Surface form Disambiguated ID Type / Status
Subject State Property E328376 entity
Predicate leader P981 FINISHED
Object Beanie Sigel E133239 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: Beanie Sigel | Statement: [State Property, leader, Beanie Sigel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beanie Sigel
Context triple: [State Property, leader, 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. Michele Little
    Michele Little is an American former film and television actress known for her work in the 1980s and early 1990s.
  • C. 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.
  • D. John-Michael Tebelak
    John-Michael Tebelak was an American playwright and director best known for conceiving and originally directing the musical "Godspell."
  • E. Jymie Merritt
    Jymie Merritt was an influential American jazz bassist and composer known for his innovative work with Art Blakey’s Jazz Messengers and his own ensemble, the Forerunners.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8773f388190b2413b1e05fd5fd7 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794514afc8190b334b1fc74a6cdd5 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.