Triple

T78297
Position Surface form Disambiguated ID Type / Status
Subject Nordstrom E1567 entity
Predicate hasBrand P1500 FINISHED
Object Zella
Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
 E24176 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: Zella | Statement: [Nordstrom, hasBrand, Zella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zella
Context triple: [Nordstrom, hasBrand, Zella]
  • A. Kimberly
    Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
  • B. Maia
    Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
  • C. Angela
    Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Rita
    Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
  • 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: Zella
Triple: [Nordstrom, hasBrand, Zella]
Generated description
Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zella
Target entity description: Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
  • A. Kimberly
    Kimberly is a feminine given name of English origin that has been widely used in the United States since the mid-20th century.
  • B. Maia
    Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
  • C. Angela
    Angela is the given name of Angela Merkel, the long-serving former Chancellor of Germany and a prominent European political leader.
  • D. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • E. Rita
    Rita is a feminine given name used in various cultures, often as a short form of names like Margarita.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a2567c90308190a9b989c586f7e559 completed Feb. 28, 2026, 2:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69a305dff8b88190b82db3adf474b271 completed Feb. 28, 2026, 3:12 p.m.
NEDg Description generation batch_69a309bbb7108190af09feaddee9d00c completed Feb. 28, 2026, 3:28 p.m.
NED2 Entity disambiguation (via description) batch_69a30a1b9240819088e762ff13df4c32 completed Feb. 28, 2026, 3:30 p.m.
Created at: Feb. 28, 2026, 2:06 a.m.