Triple
T15998098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Saks |
E388025
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Saks |
E80313
|
NE FINISHED |
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: Saks | Statement: [Andrew Saks, familyName, Saks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saks Context triple: [Andrew Saks, familyName, Saks]
-
A.
Saks OFF 5TH
Saks OFF 5TH is an off-price luxury retail chain offering discounted designer apparel, accessories, and home goods.
-
B.
Saks Fifth Avenue
chosen
Saks Fifth Avenue is a luxury American department store chain known for its high-end fashion, accessories, and flagship store on New York City's Fifth Avenue.
-
C.
Karstadt
Karstadt is a major German department store chain known for its wide range of consumer goods and long-standing presence in the country’s retail sector.
-
D.
Nordstrom
Nordstrom is a leading American luxury department store chain known for its high-end fashion, quality customer service, and nationwide retail presence.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157893ebc8190acb75ee05e450fae |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d79dec8190b02e003f93e5dad6 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:55 a.m.