Triple

T21455013
Position Surface form Disambiguated ID Type / Status
Subject Teacha E529317 entity
Predicate notableWork P4 FINISHED
Object By All Means Necessary — 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: By All Means Necessary | Statement: [Teacha, notableWork, By All Means Necessary]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: By All Means Necessary
Context triple: [Teacha, notableWork, By All Means Necessary]
  • A. By All Means Necessary chosen
    "By All Means Necessary" is a politically charged hip-hop album by KRS-One (as Boogie Down Productions), known for its socially conscious lyrics and iconic cover referencing Malcolm X.
  • B. By Any Means
    "By Any Means" is a track from J. Cole’s introspective hip-hop album "PTSD," exploring themes of struggle, resilience, and determination.
  • C. All for One
    "All for One" is a song featured on the album "The Boss."
  • D. All for One
    "All for One" is a classic early-1990s hip hop single by Brand Nubian known for its socially conscious lyrics and Five-Percent Nation-influenced themes.
  • E. All in All
    "All in All" is a song best known as a 1978 disco and R&B hit by the American group Earth, Wind & Fire.
  • 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_69e0c457579481909db68053ed99750c completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9d612e081909d00ca59a3621cc9 completed April 23, 2026, 9:43 a.m.
Created at: April 16, 2026, 6:08 p.m.