Triple

T28368484
Position Surface form Disambiguated ID Type / Status
Subject Effie Gray (2014 film) E718555 entity
Predicate screenplaySubject P166217 FINISHED
Object marital breakdown 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: marital breakdown | Statement: [Effie Gray (2014 film), screenplaySubject, marital breakdown]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: screenplaySubject
Context triple: [Effie Gray (2014 film), screenplaySubject, marital breakdown]
  • A. screenplayType
    Indicates the specific category or format of a screenplay associated with a work or production.
  • B. screenplayInspiration
    Indicates that one work or real-world source served as the creative basis or inspiration for the screenplay of another work.
  • C. screenplayFeature
    Indicates that one entity is a screenplay that serves as the primary feature or main written work associated with another entity, such as a film or production.
  • D. screenplayRecord
    Indicates that there exists a record or documentation associated with a particular screenplay, capturing information about its creation, version, or related details.
  • E. screenplayDevelopment
    Indicates a relationship where a screenplay is being created, refined, or otherwise developed, typically through writing, revising, or collaborative work.
  • F. None of above. chosen

Provenance (4 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_69eff6ed5af48190be4e0adf298223e0 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f66003a3f48190a2ba6da5aafbb5cb completed May 2, 2026, 8:35 p.m.
PD Predicate disambiguation batch_69f65c2198208190a3954086c22cfcbf completed May 2, 2026, 8:18 p.m.
PDg Predicate description generation batch_69f65f75ac608190a62cd6afce14f68e completed May 2, 2026, 8:32 p.m.
Created at: April 28, 2026, 12:57 a.m.