Triple

T22854012
Position Surface form Disambiguated ID Type / Status
Subject Patagonia E566428 entity
Predicate hasProgram P178 FINISHED
Object Worn Wear
Worn Wear is Patagonia’s sustainability-focused initiative that encourages repairing, reusing, and recycling clothing to extend product life and reduce environmental impact.
E1559366 NE FINISHED

How this triple was built (4 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: Worn Wear | Statement: [Patagonia, hasProgram, Worn Wear]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Worn Wear
Context triple: [Patagonia, hasProgram, Worn Wear]
  • A. Wearing
    Wearing is a surname most prominently associated with British conceptual artist and photographer Gillian Wearing.
  • B. USED
    USED is the commonly used acronym for the United States Department of Education, the federal agency responsible for national education policy and administration.
  • C. Damaged Goods
    Damaged Goods is an independent British record label known for releasing punk, garage, and alternative music.
  • D. Torn and Tattered
    Torn and Tattered is likely a song or track featured on the release titled "Mind Body & Soul."
  • E. Damaged
    Damaged is the influential 1981 debut studio album by American hardcore punk band Black Flag, widely regarded as a landmark release in the genre.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Worn Wear
Triple: [Patagonia, hasProgram, Worn Wear]
Generated description
Worn Wear is Patagonia’s sustainability-focused initiative that encourages repairing, reusing, and recycling clothing to extend product life and reduce environmental impact.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Worn Wear
Target entity description: Worn Wear is Patagonia’s sustainability-focused initiative that encourages repairing, reusing, and recycling clothing to extend product life and reduce environmental impact.
  • A. Wearing
    Wearing is a surname most prominently associated with British conceptual artist and photographer Gillian Wearing.
  • B. USED
    USED is the commonly used acronym for the United States Department of Education, the federal agency responsible for national education policy and administration.
  • C. Damaged Goods
    Damaged Goods is an independent British record label known for releasing punk, garage, and alternative music.
  • D. Torn and Tattered
    Torn and Tattered is likely a song or track featured on the release titled "Mind Body & Soul."
  • E. Damaged
    "Damaged" is a 2008 uptempo R&B-pop single by American girl group Danity Kane, known for its catchy hook and chart success.
  • F. None of above. chosen

Provenance (5 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17ebb4ea48190b4b865e316f6a75f completed April 29, 2026, 3:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bae8636488190ba3391468ff77f4f completed May 19, 2026, 12:27 a.m.
NEDg Description generation batch_6a0bb2a9ec448190919c5fd16e194f3a completed May 19, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a0bb306d3a081908e241b8f5667a014 completed May 19, 2026, 12:47 a.m.
Created at: April 17, 2026, 3:37 p.m.