Triple

T20294363
Position Surface form Disambiguated ID Type / Status
Subject The Unretouched Woman E510107 entity
Predicate hasPhotographicApproach P27062 FINISHED
Object available light 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: available light | Statement: [The Unretouched Woman, hasPhotographicApproach, available light]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPhotographicApproach
Context triple: [The Unretouched Woman, hasPhotographicApproach, available light]
  • A. hasPhotographicProcess
    Indicates that something is associated with, created by, or characterized through a specific photographic process or technique.
  • B. hasPhotographicConvention chosen
    Indicates that there is an established photographic style, rule, or convention governing how the related entities are visually represented in photographs.
  • C. hasPhotogenicFeature
    Indicates that an entity possesses a visual characteristic or attribute that is especially attractive or appealing when photographed.
  • D. hasPhotographicActivity
    Indicates that one entity engages in or is involved with photographic activity in relation to another entity or context.
  • E. usesPhotographyFrom
    Indicates that one entity employs or incorporates photographic material originating from another entity.
  • 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67704262c8190bc903b733d849881 completed April 20, 2026, 6:57 p.m.
PD Predicate disambiguation batch_69e55b21b09081909e46691b6f45a07f completed April 19, 2026, 10:45 p.m.
Created at: April 16, 2026, 11:13 a.m.