Triple
T13609778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rachel Green |
E325157
|
entity |
| Predicate | worksAt |
P7
|
FINISHED |
| Object | Ralph Lauren |
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 | Statement: [Rachel Green, worksAt, Ralph Lauren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ralph Lauren Context triple: [Rachel Green, worksAt, Ralph Lauren]
-
A.
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.
-
B.
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.
-
C.
David Lauren
David Lauren is an American businessman and executive at the fashion company Ralph Lauren, founded by his father Ralph Lauren.
-
D.
Perry Ellis
Perry Ellis was an influential American fashion designer known for his innovative, relaxed approach to sportswear that helped redefine modern menswear and womenswear in the late 20th century.
-
E.
Bill Blass
Bill Blass was an influential American fashion designer known for his elegant, tailored womenswear and high-profile collaborations with major brands.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0aa9a1481908c6f92495aff86c6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f98286c8190a866b5edc21f1225 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.