Triple

T32189661
Position Surface form Disambiguated ID Type / Status
Subject Bluebell medical clinic E822201 entity
Predicate productionTypeOfSeries P69830 FINISHED
Object scripted television drama 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: scripted television drama | Statement: [Bluebell medical clinic, productionTypeOfSeries, scripted television drama]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: productionTypeOfSeries
Context triple: [Bluebell medical clinic, productionTypeOfSeries, scripted television drama]
  • A. producedSeriesGenre
    Indicates that a producer or production entity created or was responsible for a television or film series belonging to a specified genre.
  • B. filmProductionType
    Indicates the specific kind or category of production under which a film was made (e.g., feature, short, documentary, TV movie).
  • C. producedSeriesFor
    Indicates that one entity created or was responsible for producing a series (such as a TV, web, or media series) for another entity.
  • D. hasFictionalProductionType chosen
    Indicates that an entity is associated with a specific type or category of fictional production (such as a genre, format, or style).
  • E. filmSerialType
    Indicates the type or category of a film serial to which a particular film or episode belongs.
  • 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_69f3490819cc81909bae1f8ce99423c5 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fdb31800508190beec15adb9bbd292 completed May 8, 2026, 9:55 a.m.
PD Predicate disambiguation batch_69fdb19c381c8190bafb2f565da097f1 completed May 8, 2026, 9:49 a.m.
Created at: May 1, 2026, 12:35 a.m.