Triple

T5763268
Position Surface form Disambiguated ID Type / Status
Subject The Four Seasons E127146 entity
Predicate depicts P1581 FINISHED
Object Spring E321080 NE 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: Spring | Statement: [The Four Seasons, depicts, Spring]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Spring
Context triple: [The Four Seasons, depicts, Spring]
  • A. Spring
    Spring is a suburban community in the Houston metropolitan area of Texas, known for its residential neighborhoods, schools, and proximity to major transportation routes.
  • B. Spring chosen
    "Spring" is a 2019 novel by Ali Smith, part of her acclaimed Seasonal Quartet, that intertwines contemporary politics, migration, and art in a formally inventive narrative.
  • C. Spring
    "Spring" is a classic Soviet musical comedy film starring Lyubov Orlova, celebrated for its lighthearted tone, memorable songs, and satirical portrayal of postwar Soviet society.
  • D. Spring
    Spring is a widely used Java application framework that simplifies building enterprise-level, modular, and testable applications.
  • E. Primavera
    Primavera is a renowned mythological painting by Italian Renaissance artist Sandro Botticelli, celebrated for its allegorical depiction of spring and intricate symbolic figures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c00833a3fc81908f4bc29ed011b7a6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0293bbf2081908d40d76c4eb863ae completed March 22, 2026, 5:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e5547f88190b950a3037708f820 completed March 22, 2026, 11:42 p.m.
Created at: March 22, 2026, 3:49 p.m.