Triple

T10481907
Position Surface form Disambiguated ID Type / Status
Subject Bring the Pain E247191 entity
Predicate followedBy P78 FINISHED
Object Bigger & Blacker E247192 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: Bigger & Blacker | Statement: [Bring the Pain, followedBy, Bigger & Blacker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bigger & Blacker
Context triple: [Bring the Pain, followedBy, Bigger & Blacker]
  • A. Bigger & Blacker chosen
    Bigger & Blacker is a 1999 stand-up comedy special and album by Chris Rock known for its sharp social commentary and provocative humor.
  • B. Bigger
    Bigger is a segment from Beyoncé’s visual album and film "Black Is King," featuring the song "Bigger" and its accompanying cinematic visuals.
  • C. Bigger
    "Bigger" is a comedy television series created and produced by filmmaker Will Packer that follows a group of friends navigating love, careers, and ambitions in Atlanta.
  • D. The Blackening
    The Blackening is a 2022 horror-comedy film that satirizes slasher-movie tropes through a predominantly Black ensemble cast and sharp social commentary.
  • E. Black from the Edge
    Black from the Edge is a collection of poetry and writings by Aboriginal Australian author and activist Kevin Gilbert that powerfully explores Indigenous identity, resistance, and the impacts of colonization.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5095d21c08190a0b2f3e57fabb1d8 completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8a03336988190bc1e61126fe576be completed April 10, 2026, 7:01 a.m.
Created at: April 6, 2026, 12:22 p.m.