Triple

T31286135
Position Surface form Disambiguated ID Type / Status
Subject Lady Cab Driver E797807 entity
Predicate hasCertificationContext P181165 FINISHED
Object appears on multi-platinum album 1999 LITERAL 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: appears on multi-platinum album 1999 | Statement: [Lady Cab Driver, hasCertificationContext, appears on multi-platinum album 1999]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCertificationContext
Context triple: [Lady Cab Driver, hasCertificationContext, appears on multi-platinum album 1999]
  • A. hasCertificationLabel
    Indicates that an entity bears or is associated with a specific certification label signifying compliance with defined standards or criteria.
  • B. hasCertificationStandard
    Indicates that an entity complies with, or is associated with, a specific certification standard.
  • C. isCertified
    Indicates that an entity has been officially recognized as meeting specific standards or qualifications by an authorized body.
  • D. hasProtectionContext
    Indicates that an entity is associated with a specific protection-related context that governs how it is safeguarded or controlled.
  • E. hasTypeCertificateFor
    Indicates that an entity possesses a specific type of certificate that is issued for or applicable to another entity or subject.
  • F. None of above. chosen

Provenance (4 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_69f224def9088190a37034eab3daf57f completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f7626667f48190ad90867eb67ec582 completed May 3, 2026, 2:57 p.m.
PD Predicate disambiguation batch_69f76175d6608190b60b268e20f49ed9 completed May 3, 2026, 2:53 p.m.
PDg Predicate description generation batch_69f762651e088190baa21f25378a6065 completed May 3, 2026, 2:57 p.m.
Created at: April 29, 2026, 9:13 p.m.