Triple
T13961486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Freud |
E335802
|
entity |
| Predicate | notableClient |
P7186
|
FINISHED |
| Object | Asda |
E803119
|
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: Asda | Statement: [Matthew Freud, notableClient, Asda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asda Context triple: [Matthew Freud, notableClient, Asda]
-
A.
Asda
chosen
Asda is a major British supermarket and retail chain known for its low-cost groceries, general merchandise, and large-format stores across the United Kingdom.
-
B.
Tesco
Tesco is a major British multinational grocery and general merchandise retailer and one of the largest supermarket chains in the world.
-
C.
Sainsbury
Sainsbury is a prominent British family name most closely associated with the founders and owners of the J Sainsbury supermarket chain and notable figures in business and public life.
-
D.
Woolworths
Woolworths is a major Australian supermarket and grocery retail chain.
-
E.
Woolworths
Woolworths is a major South African retail chain known for its upmarket food, clothing, and homeware offerings.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7c73d48190b8e02971b5a8ed5f |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d6b2e88190b4d2237413f509ee |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.