Triple
T14837646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gieves & Hawkes |
E348872
|
entity |
| Predicate | foundedAs |
P364
|
FINISHED |
| Object | Gieves |
E348872
|
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: Gieves | Statement: [Gieves & Hawkes, foundedAs, Gieves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gieves Context triple: [Gieves & Hawkes, foundedAs, Gieves]
-
A.
Gieves & Hawkes
chosen
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.
-
B.
Burberry
Burberry is a British luxury fashion house renowned for its iconic trench coats, distinctive check pattern, and heritage-inspired apparel and accessories.
-
C.
Brooks Brothers
Brooks Brothers is a historic American clothing brand renowned for its classic menswear, preppy style, and status as one of the oldest apparel retailers in the United States.
-
D.
Ben Sherman
Ben Sherman is a rookie Los Angeles police officer and central protagonist in the television drama series "Southland," known for his moral struggles and on-the-job maturation.
-
E.
Ted Baker
Ted Baker is a fictional character who appears in the 1989 romantic fantasy film "Always."
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28d0ddc8190a34e3e2d469ab762 |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a813b881908a71350073c8fc5c |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:52 a.m.