Triple
T13531681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wacoal |
E323147
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Wacoal America |
E323147
|
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: Wacoal America | Statement: [Wacoal, hasSubsidiary, Wacoal America]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wacoal America Context triple: [Wacoal, hasSubsidiary, Wacoal America]
-
A.
Wacoal
chosen
Wacoal is a Japanese company best known as a leading manufacturer and retailer of women's lingerie and intimate apparel.
-
B.
Maidenform
Maidenform is a well-known American lingerie and shapewear brand recognized for its bras, panties, and intimate apparel.
-
C.
Limited Brands, Inc.
Limited Brands, Inc. was the former corporate name of L Brands, the American retail company best known for owning brands such as Victoria’s Secret and Bath & Body Works.
-
D.
Hanesbrands
Hanesbrands is a leading American apparel company best known for its Hanes and Champion brands of underwear, activewear, and basic clothing.
-
E.
Fruit of the Loom
Fruit of the Loom is a major American clothing manufacturer best known for its underwear, casualwear, and iconic fruit-themed logo.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbb34548190a6b44faa48125cd4 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d95ce008190a915fe5865c38ee5 |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.