Triple
T15428260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Ernest Debenham |
E369568
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Debenhams |
E636396
|
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: Debenhams | Statement: [Sir Ernest Debenham, employer, Debenhams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debenhams Context triple: [Sir Ernest Debenham, employer, Debenhams]
-
A.
Debenhams
chosen
Debenhams was a major British department store chain offering fashion, beauty, and home goods through high-street locations and online retail.
-
B.
M&S
M&S is the commonly used abbreviation for McClelland and Stewart, a prominent Canadian publishing company known for its influential literary catalog.
-
C.
John Lewis & Partners
John Lewis & Partners is a major British department store chain known for its wide range of quality goods and customer service, operating as part of the employee-owned John Lewis Partnership.
-
D.
Harrods
Harrods is a world-famous luxury department store in London renowned for its upscale shopping, elaborate food halls, and iconic Knightsbridge location.
-
E.
Hamleys
Hamleys is a world-famous British toy store chain best known for its flagship multi-storey shop in central London.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec31f4881908b26ff7c381d7bc9 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a8099448190be71f7b649c7e545 |
completed | May 9, 2026, 11:29 a.m. |
Created at: April 10, 2026, 3:20 a.m.