Triple

T35261126
Position Surface form Disambiguated ID Type / Status
Subject Bread and Circuses E1018371 entity
Predicate portraysMediumWithinStory P9561 FINISHED
Object television broadcasting 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: television broadcasting | Statement: [Bread and Circuses, portraysMediumWithinStory, television broadcasting]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portraysMediumWithinStory
Context triple: [Bread and Circuses, portraysMediumWithinStory, television broadcasting]
  • A. portrayedInFilmMedium
    Indicates that an entity is depicted or represented within a film or cinematic work.
  • B. depictsMedium chosen
    Indicates that one entity visually represents or portrays the medium or material of another entity.
  • C. narrativeMediumRestriction
    Indicates a constraint on which narrative media or formats are allowed or required for presenting or conveying something.
  • D. partOfMedium
    Indicates that something is a component or constituent element within a larger medium or material.
  • E. mediatisedBy
    Indicates that an entity’s communication or interaction is conveyed, shaped, or influenced through a particular medium or media channel rather than occurring directly.
  • 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_69f76de4be5c8190a51705c07612cac8 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ff3e1762d8819089a60e402e682817 completed May 9, 2026, 2 p.m.
PD Predicate disambiguation batch_69ff3d8c6f308190a0646b1432752eb8 completed May 9, 2026, 1:58 p.m.
Created at: May 3, 2026, 4:02 p.m.