Triple

T32486292
Position Surface form Disambiguated ID Type / Status
Subject Survivor E830248 entity
Predicate influenceOnTelevision P173356 FINISHED
Object popularized competitive reality formats worldwide 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: popularized competitive reality formats worldwide | Statement: [Survivor, influenceOnTelevision, popularized competitive reality formats worldwide]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: influenceOnTelevision
Context triple: [Survivor, influenceOnTelevision, popularized competitive reality formats worldwide]
  • A. influenceOf chosen
    Indicates that one entity affects, shapes, or alters the state, behavior, or properties of another entity.
  • B. televisionNotability
    Indicates that an entity is notable or significant specifically for its involvement in television (e.g., TV roles, appearances, or contributions).
  • C. viewershipImpact
    Indicates how one entity’s viewership levels influence or change the audience size, engagement, or visibility of another entity.
  • D. televisionWork
    Indicates a relationship where a creative work is produced for, broadcast on, or primarily associated with television.
  • E. isWatchedOnTelevisionBy
    Indicates that an entity (such as a program or event) is being viewed on television by a particular person or audience.
  • 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_69f34920aa4081908d8fb0277414b911 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fb2e940d5c8190bceae77daf4ef512 completed May 6, 2026, 12:05 p.m.
PD Predicate disambiguation batch_69f9fec70bd881909c658a3c5020318b completed May 5, 2026, 2:29 p.m.
Created at: May 1, 2026, 12:58 a.m.