Triple
T21795613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanesbrands Inc. |
E538085
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Maidenform |
—
|
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: Maidenform | Statement: [Hanesbrands Inc., brand, Maidenform]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maidenform Context triple: [Hanesbrands Inc., brand, Maidenform]
-
A.
Maidenform
chosen
Maidenform is a well-known American lingerie and shapewear brand recognized for its bras, panties, and intimate apparel.
-
B.
Wacoal
Wacoal is a Japanese company best known as a leading manufacturer and retailer of women's lingerie and intimate apparel.
-
C.
Victoria’s Secret
Victoria’s Secret is a prominent American lingerie and beauty retailer known for its fashion shows, supermodel “Angels,” and extensive line of intimate apparel and related products.
-
D.
Spanx
Spanx is a popular American shapewear and apparel brand known for its body-slimming undergarments and innovative hosiery.
-
E.
Catalina Swimwear
Catalina Swimwear is an American swimwear brand best known for its influential mid-20th-century designs and long association with major beauty pageants and beach culture.
- 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f06223ecc48190bd3b173586ea7818 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 16, 2026, 6:53 p.m.