Triple

T20120949
Position Surface form Disambiguated ID Type / Status
Subject Decontamination chambers (film) E490604 entity
Predicate diegeticTechnology P116065 FINISHED
Object radiation detectors 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: radiation detectors | Statement: [Decontamination chambers (film), diegeticTechnology, radiation detectors]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: diegeticTechnology
Context triple: [Decontamination chambers (film), diegeticTechnology, radiation detectors]
  • A. diegeticStatus
    Indicates the relationship between an element and the narrative world, specifying whether it exists within the story’s reality (perceivable by characters) or outside it (only for the audience).
  • B. diegeticPerformer
    Indicates that an entity performs within the narrative world itself, as a character or in-story performer, rather than as an external or non-diegetic contributor.
  • C. hasDiegeticUse chosen
    Indicates that something is used or occurs within the narrative world itself, as experienced by the characters (i.e., it is diegetic).
  • D. featuresFictionalTechnology
    Indicates that an entity includes, depicts, or makes use of imagined or speculative technology that does not exist in reality.
  • E. visualTechnology
    Indicates a relationship where one entity is a technology used to capture, process, display, or otherwise handle visual information for another entity or context.
  • 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_69da62636cc08190982cc71733a17b8d completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6673e79dc81908fbd387c067fce79 completed April 20, 2026, 5:49 p.m.
PD Predicate disambiguation batch_69e54cf788188190a46cc49c9ce7617f completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 11:30 p.m.