Triple
T3669644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knightsbridge |
E77845
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Harvey Nichols
Harvey Nichols is a luxury British department store renowned for its high-end fashion, beauty, and lifestyle offerings.
|
E379790
|
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: Harvey Nichols | Statement: [Knightsbridge, contains, Harvey Nichols]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harvey Nichols Context triple: [Knightsbridge, contains, Harvey Nichols]
-
A.
Harrods
Harrods is a world-famous luxury department store in London renowned for its upscale shopping, elaborate food halls, and iconic Knightsbridge location.
-
B.
Fortnum & Mason
Fortnum & Mason is a historic and prestigious British department store in London, renowned for its luxury food halls, hampers, and fine goods.
-
C.
Gieves & Hawkes
Gieves & Hawkes is a prestigious British bespoke and ready-to-wear tailor and menswear brand, renowned for its military heritage and long-standing presence at No. 1 Savile Row in London.
-
D.
Mervyn
Mervyn is a masculine given name of Welsh origin, historically meaning "sea hill" or "famous friend."
-
E.
Hatchards
Hatchards is a historic London bookshop, founded in 1797 and renowned as one of the oldest and most prestigious bookstores in the United Kingdom.
- 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: Harvey Nichols Triple: [Knightsbridge, contains, Harvey Nichols]
Generated description
Harvey Nichols is a luxury British department store renowned for its high-end fashion, beauty, and lifestyle offerings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harvey Nichols Target entity description: Harvey Nichols is a luxury British department store renowned for its high-end fashion, beauty, and lifestyle offerings.
-
A.
Harrods
Harrods is a world-famous luxury department store in London renowned for its upscale shopping, elaborate food halls, and iconic Knightsbridge location.
-
B.
Fortnum & Mason
Fortnum & Mason is a historic and prestigious British department store in London, renowned for its luxury food halls, hampers, and fine goods.
-
C.
Gieves & Hawkes
Gieves & Hawkes is a prestigious British bespoke and ready-to-wear tailor and menswear brand, renowned for its military heritage and long-standing presence at No. 1 Savile Row in London.
-
D.
Mervyn
Mervyn is a masculine given name of Welsh origin, historically meaning "sea hill" or "famous friend."
-
E.
Hatchards
Hatchards is a historic London bookshop, founded in 1797 and renowned as one of the oldest and most prestigious bookstores in the United Kingdom.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42b3f94819091d51e488bc3f2f2 |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c39bb9b48190ba34226ccfccd59e |
completed | March 14, 2026, 2:10 a.m. |
| NEDg | Description generation | batch_69b4c4dc3e2c819086e26220928ef778 |
completed | March 14, 2026, 2:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4c539288c8190abbbef5e3378d8af |
completed | March 14, 2026, 2:17 a.m. |
Created at: March 8, 2026, 3:25 p.m.