Triple

T26428357
Position Surface form Disambiguated ID Type / Status
Subject Peter Menzel E664429 entity
Predicate hasPhotographicTheme P9792 FINISHED
Object families with their possessions 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: families with their possessions | Statement: [Peter Menzel, hasPhotographicTheme, families with their possessions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhotographicTheme
Context triple: [Peter Menzel, hasPhotographicTheme, families with their possessions]
  • A. isPhotographicSubject chosen
    Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
  • B. hasPhotogenicFeature
    Indicates that an entity possesses a visual characteristic or attribute that is especially attractive or appealing when photographed.
  • C. hasPhotographicActivity
    Indicates that one entity engages in or is involved with photographic activity in relation to another entity or context.
  • D. hasPhotographicSignificance
    Indicates that something holds notable importance or relevance in the context of photography, such as for documentation, artistic value, or visual record.
  • E. hasPhotographicProcess
    Indicates that something is associated with, created by, or characterized through a specific photographic process or technique.
  • 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_69ee883ad6a4819088f918e76122d690 completed April 26, 2026, 9:48 p.m.
NER Named-entity recognition batch_69f6562fd3488190be1acd8c526a28d2 completed May 2, 2026, 7:53 p.m.
PD Predicate disambiguation batch_69f651a731508190bb0c8c2462eba224 completed May 2, 2026, 7:33 p.m.
Created at: April 26, 2026, 11:47 p.m.