Triple
T1408379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diane Kruger |
E31747
|
entity |
| Predicate | modeledFor |
P2006
|
FINISHED |
| Object | Giorgio Armani |
E161915
|
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: Giorgio Armani | Statement: [Diane Kruger, modeledFor, Giorgio Armani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giorgio Armani Context triple: [Diane Kruger, modeledFor, Giorgio Armani]
-
A.
Armani
chosen
Armani is a renowned Italian luxury fashion house celebrated worldwide for its elegant, minimalist designs in clothing, accessories, and fragrances.
-
B.
Valentino
Valentino is a renowned Italian luxury fashion house celebrated for its elegant haute couture, ready-to-wear, and iconic red-carpet designs.
-
C.
Ralph Lauren
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.
-
D.
Christian Dior
Christian Dior is a legendary French luxury fashion house renowned for its haute couture, ready-to-wear, and iconic influence on modern style.
-
E.
Tom Ford
Tom Ford is an American fashion designer and filmmaker known for revitalizing Gucci and directing acclaimed films such as "A Single Man" and "Nocturnal Animals."
- 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_69a49918e1f88190ba610f9dc8114578 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c3bf7f0c8190aee96818de6ff4a5 |
completed | March 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad015a52a88190933e7337067e5364 |
completed | March 8, 2026, 4:55 a.m. |
Created at: March 1, 2026, 7:59 p.m.