Triple
T22538815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Watanabe |
E557228
|
entity |
| Predicate | modeledFor |
P2006
|
FINISHED |
| Object | UNIQLO |
—
|
NE NERFINISHED |
Named-entity recognition
Before disambiguation, gpt-5-mini classified whether the object phrase is a named entity — the step behind the object's NE type shown above.
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: UNIQLO | Statement: [Anne Watanabe, modeledFor, UNIQLO]
Disambiguation candidates (1 decision)
The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNIQLO Context triple: [Anne Watanabe, modeledFor, UNIQLO]
-
A.
Uniqlo
chosen
Uniqlo is a global Japanese clothing retailer known for its affordable, minimalist casual wear and functional basics.
-
B.
H&M
H&M is a global fast-fashion retail chain known for offering trendy clothing and accessories at affordable prices.
-
C.
H&M
H&M, in this context, refers to the historic Hudson and Manhattan Railroad, an early 20th-century rapid transit system that connected Manhattan with New Jersey and served as a predecessor to today’s PATH trains.
-
D.
Zara
Zara is a character in the 1953 film noir "Pickup on South Street," involved in the story’s underworld of espionage and crime.
-
E.
Zara
Zara is a town and district in Turkey known for its location in the eastern part of the Central Anatolia region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69e11e58662081909ae346ab384514ca |
elicitation | completed |
| NER | batch_69f15f302cd4819098c97ca4fa96363e |
ner | completed |
Created at: April 16, 2026, 8:51 p.m.