Triple

T11984791
Position Surface form Disambiguated ID Type / Status
Subject Mike Teavee E285249 entity
Predicate vice P102734 FINISHED
Object excessive television watching 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: excessive television watching | Statement: [Mike Teavee, vice, excessive television watching]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: vice
Context triple: [Mike Teavee, vice, excessive television watching]
  • A. vise
    Indicates that one entity firmly grips, clamps, or holds another in place, typically restricting its movement or separating it from other objects.
  • B. via
    Indicates that something occurs, is achieved, or is connected by means of, through the use of, or along the route of another entity or medium.
  • C. verse
    Indicates that one entity is in opposition or conflict against another, as in a competitive or adversarial relationship.
  • D. vicePresident
    Indicates that one entity holds the role of second-in-command or deputy leader to another entity within an organizational or governmental hierarchy.
  • E. chief
    Indicates that one entity holds the highest-ranking leadership or authoritative position over another entity or within a specified context.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903acbb9081908fe7f8360057785c completed April 10, 2026, 2:05 p.m.
PD Predicate disambiguation batch_69d902abca70819098291aa51b593708 completed April 10, 2026, 2:01 p.m.
PDg Predicate description generation batch_69d903a8695c8190bfa9d7ca50834f9f completed April 10, 2026, 2:05 p.m.
Created at: April 8, 2026, 9:46 p.m.