Triple

T6222340
Position Surface form Disambiguated ID Type / Status
Subject Brown Sugar E139144 entity
Predicate featuresCameo P626 FINISHED
Object Common E2160 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: Common | Statement: [Brown Sugar, featuresCameo, Common]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Common
Context triple: [Brown Sugar, featuresCameo, Common]
  • A. Common chosen
    Common is an American rapper, actor, and activist known for his socially conscious lyrics and influential role in conscious hip-hop.
  • B. Comum
    Comum, known today as Como, is an ancient town in northern Italy near Lake Como that was an important Roman settlement and later a notable medieval and Renaissance center.
  • C. Common Voice
    Common Voice is an open-source, crowdsourced dataset of voice recordings created to help train and improve speech recognition technologies for diverse languages and accents.
  • D. Comunes
    Comunes is a Chilean left-wing political party known for its role in progressive and social justice movements and its participation in the Apruebo Dignidad coalition.
  • E. In Common
    "In Common" is a 2016 tropical house–influenced R&B single by American singer-songwriter Alicia Keys, noted for its minimalist production and themes of shared flaws in relationships.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062bddb688190add53172a7445d01 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dcc5e788190a510cac6bbad4830 completed March 24, 2026, 4:06 a.m.
Created at: March 22, 2026, 4:22 p.m.