Triple

T433911
Position Surface form Disambiguated ID Type / Status
Subject Leonardo DiCaprio E9770 entity
Predicate hasCharitableFocus P11348 FINISHED
Object ocean conservation 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: ocean conservation | Statement: [Leonardo DiCaprio, hasCharitableFocus, ocean conservation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasCharitableFocus
Context triple: [Leonardo DiCaprio, hasCharitableFocus, ocean conservation]
  • A. hasCharitableFoundation
    Indicates that an entity maintains or is associated with a charitable foundation, typically for philanthropic or nonprofit activities.
  • B. hasCharitySingle
    Indicates that an entity is associated with exactly one specific charitable organization or charitable initiative.
  • C. philanthropicInitiative chosen
    Indicates an action or relationship where an entity undertakes or supports activities intended to promote the welfare of others, typically through charitable or socially beneficial efforts.
  • D. associatedCharity
    Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
  • E. charityComponent
    Indicates that one entity functions as a charitable element, feature, or part within another entity or larger arrangement.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ef0a008c8190ae0aa25e4df9c35f completed Feb. 28, 2026, 1:35 p.m.
PD Predicate disambiguation batch_69a2edda55e88190b7c17ba94d7df1ce completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.