Triple
T15993725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tate & Lyle |
E387904
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Lyle’s Golden Syrup |
E1094793
|
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: Lyle’s Golden Syrup | Statement: [Tate & Lyle, hasBrand, Lyle’s Golden Syrup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lyle’s Golden Syrup Context triple: [Tate & Lyle, hasBrand, Lyle’s Golden Syrup]
-
A.
Honey Molasses
"Honey Molasses" is a smooth, neo-soul track by Jill Scott known for its sensual lyrics and mellow, jazz-inflected production.
-
B.
Molasses
chosen
Molasses is a thick, dark syrup produced during the sugar-refining process, commonly used as a sweetener and flavoring in cooking and baking.
-
C.
Log Cabin Syrup
Log Cabin Syrup is a long-standing American brand of table syrup known for its maple-flavored pancake and waffle toppings.
-
D.
Marmelade
Marmelade is a commune in Haiti’s Artibonite Department, known for its mountainous terrain and agricultural production.
-
E.
Tate & Lyle
Tate & Lyle is a British multinational agribusiness and food ingredients company best known historically for its sugar refining operations.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15785347081908831b4cbc9a2dd45 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d5d72081908aa235c5ad9b5707 |
completed | May 9, 2026, 11:31 p.m. |
Created at: April 10, 2026, 4:55 a.m.