Triple

T8902839
Position Surface form Disambiguated ID Type / Status
Subject Echo and Narcissus E211969 entity
Predicate hasDepictionDetail P25409 FINISHED
Object Narcissus kneeling by the water’s edge 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: Narcissus kneeling by the water’s edge | Statement: [Echo and Narcissus, hasDepictionDetail, Narcissus kneeling by the water’s edge]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDepictionDetail
Context triple: [Echo and Narcissus, hasDepictionDetail, Narcissus kneeling by the water’s edge]
  • A. depictionDetail chosen
    Indicates that one depiction provides additional detail, refinement, or a closer view of what is shown in another depiction.
  • B. depictsView
    Indicates that one entity visually represents or portrays the view, scene, or perspective of another entity.
  • C. depictionType
    Indicates the specific manner or style in which something is visually represented or depicted.
  • D. depictedAbove
    Indicates that one entity is visually represented in an image, illustration, or diagram that is positioned above another referenced element in a layout or document.
  • E. depictsAttribute
    Indicates that one entity visually represents or illustrates a specific attribute or characteristic of 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_69ca83918d3081909b326fa3750cb8c8 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64c091d08190b59e54eb4a184e41 completed April 1, 2026, 12:20 a.m.
PD Predicate disambiguation batch_69cc5ecf55248190a29f00fbf99f13c4 completed March 31, 2026, 11:54 p.m.
Created at: March 30, 2026, 6:55 p.m.