Triple

T17039604
Position Surface form Disambiguated ID Type / Status
Subject Share a Coke E413409 entity
Predicate personalizationMethod P111922 FINISHED
Object printing popular first names 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: printing popular first names | Statement: [Share a Coke, personalizationMethod, printing popular first names]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: personalizationMethod
Context triple: [Share a Coke, personalizationMethod, printing popular first names]
  • A. supportsPersonalization chosen
    Indicates that one entity enables or provides functionality for tailoring content, behavior, or experience to the preferences or characteristics of another entity.
  • B. customizableBy
    Indicates that one entity can be modified, configured, or tailored in some way by another entity.
  • C. agingMethod
    Indicates the process or technique by which something (typically a product or material) is matured, aged, or allowed to develop its characteristics over time.
  • D. primaryPersona
    Indicates that one entity is the main or most representative persona associated with another entity, distinguishing it from any secondary or supporting personas.
  • E. isPersonalTo
    Indicates that something is uniquely associated with, belonging to, or intended for a specific individual, rather than being general or shared.
  • F. None of above.

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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f5844c819097eade4a2b42ab91 completed April 18, 2026, 7:18 p.m.
PD Predicate disambiguation batch_69e35d60a588819084f53ef9f8b2e7c0 completed April 18, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:33 a.m.