Triple

T7961436
Position Surface form Disambiguated ID Type / Status
Subject GOOD Music: The Album E184874 entity
Predicate hasContributor P4244 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: [GOOD Music: The Album, hasContributor, Common]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Common
Context triple: [GOOD Music: The Album, hasContributor, 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. Rough Common
    Rough Common is a small village in Kent, England, situated just outside the historic city of Canterbury.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b8256dc8190a4b73df7aded9097 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbe084d9348190b4102fbdfedca297 completed March 31, 2026, 2:56 p.m.
Created at: March 30, 2026, 5:12 p.m.