Triple

T3168922
Position Surface form Disambiguated ID Type / Status
Subject The Rains Came E66278 entity
Predicate disasterFilmElement P15089 FINISHED
Object yes 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: yes | Statement: [The Rains Came, disasterFilmElement, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: disasterFilmElement
Context triple: [The Rains Came, disasterFilmElement, yes]
  • A. hasDisaster chosen
    Indicates that an entity experiences, is affected by, or is associated with a disaster event.
  • B. distributedFilm
    Indicates that one entity served as the distributor responsible for releasing or circulating a particular film.
  • C. supportsDisasterType
    Indicates that one entity is capable of handling, responding to, or being applicable to a specified type of disaster.
  • D. independenceDay
    Indicates the date or event on which an entity (typically a country or region) formally celebrates its independence from another governing authority.
  • E. filmBase
    Indicates the primary location or headquarters from which a film-related entity (such as a production, company, or operation) is based or operates.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada64726048190933dbdc44258703e completed March 8, 2026, 4:39 p.m.
PD Predicate disambiguation batch_69ad9e0076b4819094628f1ad10b8f68 completed March 8, 2026, 4:04 p.m.
Created at: March 8, 2026, 3:06 p.m.