Triple
T10765303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyson Beckford |
E253937
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Ralph Lauren Polo model |
E39842
|
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: Ralph Lauren Polo model | Statement: [Tyson Beckford, notableWork, Ralph Lauren Polo model]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Lauren Polo model Context triple: [Tyson Beckford, notableWork, Ralph Lauren Polo model]
-
A.
Ralph Lauren Corporation
Ralph Lauren Corporation is a global American fashion and lifestyle company known for its premium apparel, accessories, home furnishings, and iconic Polo brand.
-
B.
Ralph Lauren
chosen
Ralph Lauren is an American fashion designer and business executive best known for founding the Ralph Lauren Corporation and its iconic Polo Ralph Lauren brand.
-
C.
Tommy Hilfiger
Tommy Hilfiger is an American fashion brand and designer known for his classic, preppy clothing and accessories that blend traditional Americana with modern style.
-
D.
Lacoste
Lacoste is a French clothing company best known for its crocodile-logo polo shirts and sportswear.
-
E.
Max Mara
Max Mara is an Italian luxury fashion house renowned for its high-quality, minimalist womenswear and iconic tailored coats.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a5d5248190badfc5a8ab0215d6 |
completed | April 9, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de235fe7748190ba004f889da389ff |
completed | April 14, 2026, 11:22 a.m. |
Created at: April 8, 2026, 9:16 p.m.