Triple

T444348
Position Surface form Disambiguated ID Type / Status
Subject Officer and Laughing Girl E10183 entity
Predicate usesComposition P8602 FINISHED
Object foreground figure in silhouette 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: foreground figure in silhouette | Statement: [Officer and Laughing Girl, usesComposition, foreground figure in silhouette]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesComposition
Context triple: [Officer and Laughing Girl, usesComposition, foreground figure in silhouette]
  • A. specialComposition chosen
    Indicates that one entity is composed of another in a distinctive or non-standard way, highlighting a particular or exceptional form of composition between them.
  • B. usedComponent
    Indicates that one entity has employed or incorporated another entity as a component in its structure, function, or operation.
  • C. composedBy
    Indicates that one entity is the creator or author of a musical or artistic work associated with another entity.
  • D. usedWith
    Indicates that one entity is typically or appropriately employed together with another entity in a combined or complementary use.
  • E. usesElement
    Indicates that one entity makes use of, incorporates, or depends on a specified element in its structure, function, or behavior.
  • 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_69a2e8465ef481909655c681b01e2986 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2ef459800819083cd9eef3e7b5295 completed Feb. 28, 2026, 1:36 p.m.
PD Predicate disambiguation batch_69a2edde2b9c8190bd20b582eb4c5065 completed Feb. 28, 2026, 1:30 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.