Triple
T5675344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanesbrands |
E125071
|
entity |
| Predicate | acquired |
P2511
|
FINISHED |
| Object | Maidenform Brands |
E538082
|
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: Maidenform Brands | Statement: [Hanesbrands, acquired, Maidenform Brands]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maidenform Brands Context triple: [Hanesbrands, acquired, Maidenform Brands]
-
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.
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.
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.
-
E.
Moda, Inc.
Moda, Inc. is a U.S.-based healthcare company that operates insurance and related health services businesses, including Moda Health.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c023717c648190b5dee8c1c6510e6d |
completed | March 22, 2026, 5:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a3211b08190868811db3d5268b1 |
completed | March 22, 2026, 9:08 p.m. |
Created at: March 22, 2026, 3:43 p.m.