Triple

T8210018
Position Surface form Disambiguated ID Type / Status
Subject Shannon de Lima E191789 entity
Predicate hasNotableActivityIn P19746 FINISHED
Object Latin American entertainment industry 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: Latin American entertainment industry | Statement: [Shannon de Lima, hasNotableActivityIn, Latin American entertainment industry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableActivityIn
Context triple: [Shannon de Lima, hasNotableActivityIn, Latin American entertainment industry]
  • A. hasActivityIn chosen
    Indicates that an entity engages in or performs a particular activity within a specified context, location, or domain.
  • B. hasSignificantActivity
    Indicates that an entity exhibits a notable level or intensity of activity, performance, or operation relative to a defined threshold or context.
  • C. hasRecentActivity
    Indicates that the subject has performed an action or been involved in an event within a defined recent time period.
  • D. hasPopularActivity
    Indicates that an entity is associated with an activity that is widely favored, frequently engaged in, or well-liked by many people.
  • E. hasAct
    Indicates that an entity performs, participates in, or is associated with a specific act or action.
  • 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_69ca82c8c054819087fedd9a5436b8a3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb76dd881c8190adcbeb2f33d3295c completed March 31, 2026, 7:25 a.m.
PD Predicate disambiguation batch_69cb36ad01ac81909609b15f6a6c8581 completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:44 p.m.