Triple

T28147674
Position Surface form Disambiguated ID Type / Status
Subject Tiswas E714527 entity
Predicate notableSketchOrSegment P3574 FINISHED
Object The Cage
The Cage was a recurring segment on the British children's TV show Tiswas, known for locking up audience members or guests in a mock jail as part of the program’s chaotic, slapstick humor.
E1806279 NE FINISHED

How this triple was built (3 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: The Cage | Statement: [Tiswas, notableSketchOrSegment, The Cage]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Cage
Triple: [Tiswas, notableSketchOrSegment, The Cage]
Generated description
The Cage was a recurring segment on the British children's TV show Tiswas, known for locking up audience members or guests in a mock jail as part of the program’s chaotic, slapstick humor.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableSketchOrSegment
Context triple: [Tiswas, notableSketchOrSegment, The Cage]
  • A. hasNotableSketch
    Indicates that an entity is associated with a sketch that is considered notable or significant in some context.
  • B. notableSegmentType
    Indicates that a particular segment or portion of something is classified as being of notable or special significance by its type.
  • C. sketchType
    Indicates the specific kind or category of sketch associated with an entity or action.
  • D. notableSurface
    Indicates that one entity is a surface or exterior of particular significance or prominence in relation to another entity.
  • E. hasNotableSegment chosen
    Indicates that an entity includes or contains a specific segment, part, or portion that is considered notable or significant in some way.
  • F. None of above.

Provenance (6 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_69efd6b033208190bf74f80a147e2092 completed April 27, 2026, 9:35 p.m.
NER Named-entity recognition batch_6a008c77d4dc8190b342d7407eaf48fa completed May 10, 2026, 1:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a15d7a906248190a251e232dde79b77 completed May 26, 2026, 5:26 p.m.
NEDg Description generation batch_6a15d930f12881909f5c9c1effb64334 completed May 26, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_6a15d9acfe6881909a5ef479b52746c9 completed May 26, 2026, 5:34 p.m.
PD Predicate disambiguation batch_6a008c18531c8190bbe883b73e6d023f completed May 10, 2026, 1:46 p.m.
Created at: April 27, 2026, 9:57 p.m.