Triple

T26973106
Position Surface form Disambiguated ID Type / Status
Subject NEWBORN E679372 entity
Predicate themeOfRepainting P25955 FINISHED
Object varies each year 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: varies each year | Statement: [NEWBORN, themeOfRepainting, varies each year]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: themeOfRepainting
Context triple: [NEWBORN, themeOfRepainting, varies each year]
  • A. themeRepresentation
    Indicates that one entity serves as a representation, depiction, or expression of the thematic content associated with another entity.
  • B. themeFor chosen
    Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
  • C. themeTreatment
    Indicates that a treatment is applied to, affects, or is directed toward a particular theme or subject.
  • D. themeRevived
    Indicates that an entity is brought back to life, restored, or reactivated as the central participant or focus of an event or action.
  • E. undergoesTheme
    Indicates that an entity experiences or is subjected to a process, event, or change described by another entity or action.
  • 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_69eeeb507a7081909d516e1fa08b7d29 completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f625411c14819086492062e86ba8d5 completed May 2, 2026, 4:24 p.m.
PD Predicate disambiguation batch_69f623a91b9c8190b2e2fdbc55cb89b6 completed May 2, 2026, 4:17 p.m.
Created at: April 27, 2026, 6:40 a.m.