Triple
T2218153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Ford |
E48078
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
Gucci
Gucci is a renowned Italian luxury fashion house known for its high-end clothing, accessories, and iconic branding.
|
E245336
|
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: Gucci | Statement: [Tom Ford, employer, Gucci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gucci Context triple: [Tom Ford, employer, Gucci]
-
A.
Prada
Prada is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and accessories.
-
B.
Fendi
Fendi is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and iconic handbags.
-
C.
Versace
Versace is a renowned Italian luxury fashion house known for its bold, glamorous designs and iconic Medusa logo.
-
D.
Louis Vuitton
Louis Vuitton is a French luxury fashion house and brand renowned worldwide for its high-end leather goods, ready-to-wear, accessories, and iconic monogram designs.
-
E.
Dolce & Gabbana
Dolce & Gabbana is a luxury Italian fashion house renowned for its glamorous, Mediterranean-inspired clothing, accessories, and fragrances.
- 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: Gucci Triple: [Tom Ford, employer, Gucci]
Generated description
Gucci is a renowned Italian luxury fashion house known for its high-end clothing, accessories, and iconic branding.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gucci Target entity description: Gucci is a renowned Italian luxury fashion house known for its high-end clothing, accessories, and iconic branding.
-
A.
Prada
Prada is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and accessories.
-
B.
Fendi
Fendi is a renowned Italian luxury fashion house known for its high-end clothing, leather goods, and iconic handbags.
-
C.
Versace
Versace is a renowned Italian luxury fashion house known for its bold, glamorous designs and iconic Medusa logo.
-
D.
Louis Vuitton
Louis Vuitton is a French luxury fashion house and brand renowned worldwide for its high-end leather goods, ready-to-wear, accessories, and iconic monogram designs.
-
E.
Dolce & Gabbana
Dolce & Gabbana is a luxury Italian fashion house renowned for its glamorous, Mediterranean-inspired clothing, accessories, and fragrances.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc010bd4c8190ace293b37eac1de5 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae655b369c8190a5d12b87401534d7 |
completed | March 9, 2026, 6:14 a.m. |
| NEDg | Description generation | batch_69ae65d4f26481909808c97b95ca9b30 |
completed | March 9, 2026, 6:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6670b6d88190a09023fae63f4000 |
completed | March 9, 2026, 6:19 a.m. |
Created at: March 4, 2026, 7:46 p.m.