Triple

T27576819
Position Surface form Disambiguated ID Type / Status
Subject Matt Helders E699481 entity
Predicate hasClothingLine P175632 FINISHED
Object Denim and Leather
Denim and Leather is a clothing line created by Arctic Monkeys drummer Matt Helders, known for its rock-inspired streetwear aesthetic.
 E1780696 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: Denim and Leather | Statement: [Matt Helders, hasClothingLine, Denim and Leather]
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: Denim and Leather
Triple: [Matt Helders, hasClothingLine, Denim and Leather]
Generated description
Denim and Leather is a clothing line created by Arctic Monkeys drummer Matt Helders, known for its rock-inspired streetwear aesthetic.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasClothingLine
Context triple: [Matt Helders, hasClothingLine, Denim and Leather]
  • A. hasGarment
    Indicates that one entity possesses, wears, or is associated with a particular garment.
  • B. hasFragranceLine
    Indicates that one entity (typically a brand or company) offers or is associated with a particular line or collection of fragrances.
  • C. hasClothingSource
    Indicates that an entity’s clothing originates from, is supplied by, or is obtained through a specified source.
  • D. hasFashionArm
    Indicates that an entity possesses or is equipped with a specific fashion-related arm or arm accessory.
  • E. showsClothing
    Indicates that one entity visually presents or displays an item of clothing associated with another entity.
  • F. None of above. chosen

Provenance (7 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_69ef6a4cb8b881909b3a8d630fd89df2 completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f6d74b20a48190900dda1014cc13a8 completed May 3, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0d25f308190b835599956a2887b completed May 24, 2026, 10:20 a.m.
NEDg Description generation batch_6a12d18a985c819080daa18aa946feaa completed May 24, 2026, 10:23 a.m.
NED2 Entity disambiguation (via description) batch_6a12d28db59c8190a9141f9e352f19b4 completed May 24, 2026, 10:27 a.m.
PD Predicate disambiguation batch_69f6d26ceb08819091c71c001e954936 completed May 3, 2026, 4:43 a.m.
PDg Predicate description generation batch_69f6d6a482fc8190b526291cd99b8696 completed May 3, 2026, 5:01 a.m.
Created at: April 27, 2026, 2:01 p.m.