Triple
T1392586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Padma Lakshmi |
E29992
|
entity |
| Predicate | workedFor |
P1910
|
FINISHED |
| Object |
Armani
Armani is a renowned Italian luxury fashion house celebrated worldwide for its elegant, minimalist designs in clothing, accessories, and fragrances.
|
E161915
|
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: Armani | Statement: [Padma Lakshmi, workedFor, Armani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armani Context triple: [Padma Lakshmi, workedFor, Armani]
-
A.
Dolce & Gabbana
Dolce & Gabbana is a luxury Italian fashion house renowned for its glamorous, Mediterranean-inspired clothing, accessories, and fragrances.
-
B.
Versace
Versace is a renowned Italian luxury fashion house known for its bold, glamorous designs and iconic Medusa logo.
-
C.
Fendi
Fendi is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and iconic handbags.
-
D.
Prada
Prada is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and accessories.
-
E.
Valentino
Valentino is a renowned Italian luxury fashion house celebrated for its elegant haute couture, ready-to-wear, and iconic red-carpet designs.
- 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: Armani Triple: [Padma Lakshmi, workedFor, Armani]
Generated description
Armani is a renowned Italian luxury fashion house celebrated worldwide for its elegant, minimalist designs in clothing, accessories, and fragrances.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Armani Target entity description: Armani is a renowned Italian luxury fashion house celebrated worldwide for its elegant, minimalist designs in clothing, accessories, and fragrances.
-
A.
Dolce & Gabbana
Dolce & Gabbana is a luxury Italian fashion house renowned for its glamorous, Mediterranean-inspired clothing, accessories, and fragrances.
-
B.
Versace
Versace is a renowned Italian luxury fashion house known for its bold, glamorous designs and iconic Medusa logo.
-
C.
Fendi
Fendi is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and iconic handbags.
-
D.
Prada
Prada is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and accessories.
-
E.
Valentino
Valentino is a renowned Italian luxury fashion house celebrated for its elegant haute couture, ready-to-wear, and iconic red-carpet designs.
- 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_69a498dc92f8819094a1108f8ac90f43 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c360a7f08190ab7e903764b06fdf |
completed | March 1, 2026, 10:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ace56e32608190a03485d7cb5941a8 |
completed | March 8, 2026, 2:56 a.m. |
| NEDg | Description generation | batch_69ace6527e088190a1ea0ec178b4e0ce |
completed | March 8, 2026, 3 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ace6b543ec819080a5ddeed0273644 |
completed | March 8, 2026, 3:02 a.m. |
Created at: March 1, 2026, 7:59 p.m.