Triple

T4295300
Position Surface form Disambiguated ID Type / Status
Subject Elaine Mendoza Erfe E99695 entity
Predicate privacyPreference P15689 FINISHED
Object keeps personal life out of media 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: keeps personal life out of media | Statement: [Elaine Mendoza Erfe, privacyPreference, keeps personal life out of media]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: privacyPreference
Context triple: [Elaine Mendoza Erfe, privacyPreference, keeps personal life out of media]
  • A. privacyProperty
    Indicates that one entity has a characteristic, rule, or condition specifically related to privacy in the context of the relationship.
  • B. privacyCharacteristic chosen
    Indicates the specific privacy-related property or feature that characterizes how information is handled, protected, or exposed in a given context.
  • C. privacyPolicyURL
    Indicates the web address where the privacy policy governing data collection and use can be accessed.
  • D. typicalPolicyPreference
    Indicates that one entity’s policy preference is characteristic or representative of what is usually favored by another entity or group.
  • E. dataPolicy
    Indicates that one entity defines or governs how data related to another entity is collected, used, stored, 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35085b864819086cf726285384566 completed March 12, 2026, 11:47 p.m.
PD Predicate disambiguation batch_69b347fe55a88190b77bab0c0f38e1aa completed March 12, 2026, 11:10 p.m.
Created at: March 12, 2026, 11:08 p.m.