Triple

T19106175
Position Surface form Disambiguated ID Type / Status
Subject Simon Templar E467659 entity
Predicate notableAdaptationFormat P56729 FINISHED
Object radio 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: radio | Statement: [Simon Templar, notableAdaptationFormat, radio]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableAdaptationFormat
Context triple: [Simon Templar, notableAdaptationFormat, radio]
  • A. notableAdaptation
    Indicates that one work is a significant adaptation or reinterpretation of another work.
  • B. notableAdaptationType chosen
    Indicates that one work is a significant adaptation of another work in a specific way or medium (e.g., film adaptation, stage adaptation).
  • C. notableAdaptationElement
    Indicates that one work is a significant adaptation or reinterpretation of another work.
  • D. notableAdaptationStudio
    Indicates that a particular studio is especially recognized for creating an adaptation of the subject work or property.
  • E. notableGenreAdaptation
    Indicates that a work is a significant adaptation of another work into a different genre.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e37159688190a6896d9730214ba8 completed April 20, 2026, 8:27 a.m.
PD Predicate disambiguation batch_69e4b9ac41848190afd0f33b42cebe99 completed April 19, 2026, 11:17 a.m.
Created at: April 10, 2026, 12:04 p.m.