Triple

T2189397
Position Surface form Disambiguated ID Type / Status
Subject Shroud of Turin E49825 entity
Predicate iconographyInfluence P37204 FINISHED
Object Christian art of the face of Jesus 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: Christian art of the face of Jesus | Statement: [Shroud of Turin, iconographyInfluence, Christian art of the face of Jesus]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: iconographyInfluence
Context triple: [Shroud of Turin, iconographyInfluence, Christian art of the face of Jesus]
  • A. iconographyType
    Indicates the specific kind or category of visual symbolism or imagery used to represent something.
  • B. iconographyFeature
    Indicates a visual element or motif that appears as a distinct feature within a work’s iconography.
  • C. iconographicFunction
    Indicates the symbolic or representational role that something serves within an image or visual composition.
  • D. iconographicVariant
    Indicates that one representation is an alternative or variant visual depiction of another within an iconographic tradition or system.
  • E. hasIconographicTradition
    Indicates that an entity is associated with a recognized, recurring set of visual motifs or symbolic representations within a particular artistic or cultural tradition.
  • 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_69a88aaba3c48190b351cab9b26989ff completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf9e99f08190892d34485c8f2f25 completed March 7, 2026, 6:03 a.m.
PD Predicate disambiguation batch_69abbda32d1881909d1fd83a751fb21c completed March 7, 2026, 5:54 a.m.
PDg Predicate description generation batch_69abbf9c77fc8190a323bcaf644fb2c5 completed March 7, 2026, 6:03 a.m.
Created at: March 4, 2026, 7:46 p.m.