Triple

T33659611
Position Surface form Disambiguated ID Type / Status
Subject Open All Hours E862314 entity
Predicate featuresTrait P93957 FINISHED
Object Arkwright has a stammer
"Arkwright has a stammer" refers to the defining speech impediment of the shopkeeper character Arkwright in the British sitcom *Open All Hours*, used as a recurring comedic trait in the series.
 E2061378 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: Arkwright has a stammer | Statement: [Open All Hours, featuresTrait, Arkwright has a stammer]
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: Arkwright has a stammer
Triple: [Open All Hours, featuresTrait, Arkwright has a stammer]
Generated description
"Arkwright has a stammer" refers to the defining speech impediment of the shopkeeper character Arkwright in the British sitcom *Open All Hours*, used as a recurring comedic trait in the series.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: featuresTrait
Context triple: [Open All Hours, featuresTrait, Arkwright has a stammer]
  • A. featuresCharacterWith chosen
    Indicates that one entity (such as a work or product) includes or presents a particular character as part of its content.
  • B. featuresIn
    Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
  • C. featuresSign
    Indicates that an entity includes, displays, or incorporates a particular sign as part of its appearance, content, or design.
  • D. featuresDemon
    Indicates that an entity includes, depicts, or prominently involves a demon.
  • E. featuresSpecialAbility
    Indicates that an entity possesses or is characterized by a particular special ability.
  • 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_69f34984c4008190bb82f33a7819da64 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a0207a1272c81909dcdb6e3307702f5 completed May 11, 2026, 4:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a362725e4f48190842abad12f18cfe3 completed June 20, 2026, 5:37 a.m.
NEDg Description generation batch_6a36283aac9c8190836bddb4a59bb063 completed June 20, 2026, 5:42 a.m.
NED2 Entity disambiguation (via description) batch_6a3628b9d16481908e159baeeedd8c0d completed June 20, 2026, 5:44 a.m.
PD Predicate disambiguation batch_6a0205fa1e608190829fd2baa0434fff completed May 11, 2026, 4:38 p.m.
Created at: May 1, 2026, 1:42 a.m.