Triple

T31538556
Position Surface form Disambiguated ID Type / Status
Subject Gabrielle Darley E804676 entity
Predicate privacyIssue P171948 FINISHED
Object use of her real name and life story without consent 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: use of her real name and life story without consent | Statement: [Gabrielle Darley, privacyIssue, use of her real name and life story without consent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: privacyIssue
Context triple: [Gabrielle Darley, privacyIssue, use of her real name and life story without consent]
  • A. privacyProperty
    Indicates that one entity has a characteristic, rule, or condition specifically related to privacy in the context of the relationship.
  • B. privacyCharacteristic
    Indicates the specific privacy-related property or feature that characterizes how information is handled, protected, or exposed in a given context.
  • C. privacyTechnology
    Indicates a relationship where a technology is used to protect, enhance, or manage the privacy of data, communications, or individuals.
  • D. soughtPrivacy
    Indicates that an entity intentionally attempted to obtain or maintain privacy from others.
  • E. خصوصیت
    Indicates that an entity possesses a certain attribute, quality, or characteristic.
  • 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_69f348d03ef88190a2b73d7b94b9e02d completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6a956e9b08190bf83547bba8e8147 completed May 3, 2026, 1:48 a.m.
PD Predicate disambiguation batch_69f6a75656e081908739ed9e2f600e42 completed May 3, 2026, 1:39 a.m.
PDg Predicate description generation batch_69f6a8036ab481908019f2f071fa406e completed May 3, 2026, 1:42 a.m.
Created at: April 30, 2026, 10:05 p.m.