Triple

T10555978
Position Surface form Disambiguated ID Type / Status
Subject Alexander John Buckley Ford E249086 entity
Predicate hasPrivacyStatus P15698 FINISHED
Object highly private life 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: highly private life | Statement: [Alexander John Buckley Ford, hasPrivacyStatus, highly private life]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPrivacyStatus
Context triple: [Alexander John Buckley Ford, hasPrivacyStatus, highly private life]
  • A. hasPublicAccessRestrictions
    Indicates that there are specific limitations or conditions governing public access to the associated resource or entity.
  • B. hasProprietaryStatus
    Indicates that something is owned, controlled, or protected as proprietary rather than being public or freely available.
  • C. privacyProperty chosen
    Indicates that one entity has a characteristic, rule, or condition specifically related to privacy in the context of the relationship.
  • D. hasPolicyStatus
    Indicates that an entity is associated with a policy and specifies the current status or state of that policy.
  • E. isPrivateOrPublic
    Indicates whether something is designated as private or public in terms of its accessibility or visibility.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d52712a9988190bf63e7c47f6e6fc1 completed April 7, 2026, 3:47 p.m.
PD Predicate disambiguation batch_69d518fa0b4081909bffc936d78bd77b completed April 7, 2026, 2:47 p.m.
Created at: April 6, 2026, 12:35 p.m.