Triple
T18727007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quorn |
E457925
|
entity |
| Predicate | gaveNameTo |
P744
|
FINISHED |
| Object | Quorn (meat substitute brand) |
—
|
NE NERFINISHED |
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: Quorn (meat substitute brand) | Statement: [Quorn, gaveNameTo, Quorn (meat substitute brand)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Quorn (meat substitute brand) Context triple: [Quorn, gaveNameTo, Quorn (meat substitute brand)]
-
A.
Quorn
chosen
Quorn is a village in Leicestershire, England, known for its historic charm and proximity to the River Soar and the Great Central Railway.
-
B.
Earfood
Earfood is a critically acclaimed jazz album by trumpeter Roy Hargrove, celebrated for its soulful compositions and modern hard-bop sound.
-
C.
Schmilco
Schmilco is a 2016 studio album by American alternative rock band Wilco, noted for its stripped-down, introspective, and acoustic-driven sound.
-
D.
Maggi
Maggi is a popular global food brand best known for its instant noodles, seasonings, and convenience products.
-
E.
Becel
Becel is a well-known margarine and plant-based spread brand marketed for heart health and lower cholesterol.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d74bd9881908cd314e68327c402 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:50 a.m.