Triple

T21481340
Position Surface form Disambiguated ID Type / Status
Subject Emily Montgomery E529999 entity
Predicate screenPortrayalRecognizedBy P144520 FINISHED
Object critical praise for Joan Cusack’s performance 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: critical praise for Joan Cusack’s performance | Statement: [Emily Montgomery, screenPortrayalRecognizedBy, critical praise for Joan Cusack’s performance]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: screenPortrayalRecognizedBy
Context triple: [Emily Montgomery, screenPortrayalRecognizedBy, critical praise for Joan Cusack’s performance]
  • A. portrayalRecognition
    Indicates that one entity recognizes or identifies another entity as a portrayal or representation of a particular subject or character.
  • B. visualDepictionOnScreen
    Indicates that one entity is visually shown or rendered on a screen as a depiction of another entity.
  • C. stagePortrayalIncludes
    Indicates that a stage portrayal incorporates or features a particular element, character, action, or aspect within the performance.
  • D. portraysDevice
    Indicates that one entity visually represents or depicts a device in some medium or context.
  • E. screensAt
    Indicates that one entity shows, projects, or displays another entity (such as a film, program, or content) on a screen or at a screening venue.
  • 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_69e0c45acc3881908e38d3f28964152b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea338f988190a3044f8d02a567fe completed April 23, 2026, 9:45 a.m.
PD Predicate disambiguation batch_69e631ec1d048190b6da97da8222e413 completed April 20, 2026, 2:02 p.m.
PDg Predicate description generation batch_69e6386c5a4481909c37f7de7e9fc025 completed April 20, 2026, 2:30 p.m.
Created at: April 16, 2026, 6:21 p.m.