Triple
T8536685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PVH Corp. |
E202093
|
entity |
| Predicate | owns |
P347
|
FINISHED |
| Object |
Warner’s
Warner’s is an American intimate apparel brand best known for its comfortable, affordable women’s bras and underwear.
|
E741804
|
NE FINISHED |
How this triple was built (4 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: Warner’s | Statement: [PVH Corp., owns, Warner’s]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Warner’s Context triple: [PVH Corp., owns, Warner’s]
-
A.
Warner
Warner is a common English surname borne by numerous notable individuals across literature, entertainment, sports, and public life.
-
B.
Warner Sogefilms
Warner Sogefilms is a Spanish film distribution company associated with releasing major domestic and international titles.
-
C.
WarnerColor
WarnerColor was a proprietary color motion picture process developed by Warner Bros. and used in several of its mid-20th-century films.
-
D.
Dot Warner
Dot Warner is a main character from the animated series "Animaniacs," known as the cute, witty, and mischievous youngest of the Warner siblings.
-
E.
Warner Vision
Warner Vision is a publishing imprint associated with the Time Warner Book Group, known for releasing a range of commercial fiction and non-fiction titles.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Warner’s Triple: [PVH Corp., owns, Warner’s]
Generated description
Warner’s is an American intimate apparel brand best known for its comfortable, affordable women’s bras and underwear.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Warner’s Target entity description: Warner’s is an American intimate apparel brand best known for its comfortable, affordable women’s bras and underwear.
-
A.
Warner
Warner is a common English surname borne by numerous notable individuals across literature, entertainment, sports, and public life.
-
B.
Warner Sogefilms
Warner Sogefilms is a Spanish film distribution company associated with releasing major domestic and international titles.
-
C.
WarnerColor
WarnerColor was a proprietary color motion picture process developed by Warner Bros. and used in several of its mid-20th-century films.
-
D.
Dot Warner
Dot Warner is a main character from the animated series "Animaniacs," known as the cute, witty, and mischievous youngest of the Warner siblings.
-
E.
Warner Vision
Warner Vision is a publishing imprint associated with the Time Warner Book Group, known for releasing a range of commercial fiction and non-fiction titles.
- F. None of above. chosen
Provenance (5 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a3f024819095d560a205ff1c75 |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d8c666881908785079f059f88c8 |
completed | April 2, 2026, 1:22 p.m. |
| NEDg | Description generation | batch_69ce6ec1e74081908fc235ffd13ef301 |
completed | April 2, 2026, 1:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6fe13a00819095f5bec408435426 |
completed | April 2, 2026, 1:32 p.m. |
Created at: March 30, 2026, 6:18 p.m.