Triple

T9659301
Position Surface form Disambiguated ID Type / Status
Subject H&M E233546 entity
Predicate hasBrand P1500 FINISHED
Object COS
COS is a contemporary fashion brand known for its minimalist, modern designs and high-quality wardrobe essentials.
 E812951 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: COS | Statement: [H&M, hasBrand, COS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: COS
Context triple: [H&M, hasBrand, COS]
  • A. COS
    COS is the French Armed Forces' elite joint command responsible for planning and conducting special operations.
  • B. COS
    COS is the IATA airport code for Colorado Springs Airport, a commercial airport serving Colorado Springs, Colorado, in the United States.
  • C. COS
    COS is a Hubble Space Telescope instrument designed to study the origins and evolution of the universe by analyzing the ultraviolet light from distant astronomical objects.
  • D. COS
    COS is the College of Science at Northeastern University, encompassing disciplines such as biology, chemistry, physics, mathematics, and related scientific fields.
  • E. CLO
    CLO is the acronym for the Conselh de la Lenga Occitana, the official body responsible for regulating and standardizing the Occitan language.
  • 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: COS
Triple: [H&M, hasBrand, COS]
Generated description
COS is a contemporary fashion brand known for its minimalist, modern designs and high-quality wardrobe essentials.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: COS
Target entity description: COS is a contemporary fashion brand known for its minimalist, modern designs and high-quality wardrobe essentials.
  • A. COS
    COS is a Hubble Space Telescope instrument designed to study the origins and evolution of the universe by analyzing the ultraviolet light from distant astronomical objects.
  • B. COS
    COS is the French Armed Forces' elite joint command responsible for planning and conducting special operations.
  • C. COS
    COS is the College of Science at Northeastern University, encompassing disciplines such as biology, chemistry, physics, mathematics, and related scientific fields.
  • D. COS
    COS is the IATA airport code for Colorado Springs Airport, a commercial airport serving Colorado Springs, Colorado, in the United States.
  • E. CLO
    CLO is the acronym for the Conselh de la Lenga Occitana, the official body responsible for regulating and standardizing the Occitan language.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bdfc3b08190835e86ff99663214 completed April 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a0b84a0819083191beeaf8d968b completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18ac0796c8190b48ccdb9c5052332 completed April 4, 2026, 10:03 p.m.
NED2 Entity disambiguation (via description) batch_69d18b7f7510819083a402d6802c7d95 completed April 4, 2026, 10:06 p.m.
Created at: March 30, 2026, 8:14 p.m.