Triple

T21734340
Position Surface form Disambiguated ID Type / Status
Subject Flamboyant E536482 entity
Predicate hasArtist P5936 FINISHED
Object Big L 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: Big L | Statement: [Flamboyant, hasArtist, Big L]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Big L
Context triple: [Flamboyant, hasArtist, Big L]
  • A. Big L chosen
    Big L was an influential American rapper from Harlem known for his complex wordplay, punchlines, and foundational role in New York’s underground hip-hop scene of the 1990s.
  • B. Mr. B.I.G.
    Mr. B.I.G. is the nickname of American filmmaker Bert I. Gordon, best known for his low-budget 1950s and 1960s science fiction and giant monster movies.
  • C. Biggie Shorty
    Biggie Shorty is a flamboyant, supportive love interest and comedic sidekick character in the satirical blaxploitation parody film "Pootie Tang."
  • D. The Notorious B.I.G.
    The Notorious B.I.G. was a highly influential American rapper whose storytelling, flow, and albums like "Ready to Die" helped define 1990s East Coast hip-hop.
  • E. Big Daddy Kane
    Big Daddy Kane is an influential American rapper and lyricist from Brooklyn, renowned as a pioneering figure in late 1980s and early 1990s hip-hop for his complex wordplay and smooth delivery.
  • 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd09852c8190b3486c09f22ef92b completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:48 p.m.