Triple
T23448884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bruce Nordstrom |
E567717
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Nordstrom |
—
|
NE NERFINISHED |
How this triple was built (2 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: Nordstrom | Statement: [Bruce Nordstrom, employer, Nordstrom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nordstrom Context triple: [Bruce Nordstrom, employer, Nordstrom]
-
A.
Nordstrom
chosen
Nordstrom is a leading American luxury department store chain known for its high-end fashion, quality customer service, and nationwide retail presence.
-
B.
Nordstrom Rack
Nordstrom Rack is an off-price retail chain owned by Nordstrom that sells discounted designer and brand-name apparel, shoes, and accessories.
-
C.
Macy's
Macy's is a major American department store chain known for its wide range of apparel, home goods, and its flagship store in New York City.
-
D.
Bloomingdale's
Bloomingdale's is a high-end American department store chain known for its designer fashion, luxury goods, and flagship locations in major cities.
-
E.
Lord & Taylor
Lord & Taylor is a historic American department store chain known for its upscale fashion offerings and flagship presence on New York City's Fifth Avenue.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458b4c888190b1d7998f9862a558 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64b27988190b4722425da964407 |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:52 p.m.