Triple
T18896963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Forester Distilling Co. |
E462232
|
entity |
| Predicate | hasBrandHistory |
P130033
|
FINISHED |
| Object | 19th‑century origin |
—
|
LITERAL 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: 19th‑century origin | Statement: [Old Forester Distilling Co., hasBrandHistory, 19th‑century origin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBrandHistory Context triple: [Old Forester Distilling Co., hasBrandHistory, 19th‑century origin]
-
A.
hasManufacturerHistory
Indicates that there exists a record of past and/or current manufacturers associated with an entity, capturing changes or continuity in who produced it over time.
-
B.
hasRetailHistory
Indicates that an entity has a past record of involvement in retail activities, such as operating, selling, or transacting in retail contexts.
-
C.
hasProductionHistory
Indicates that an entity is associated with a record or account of its past production activities, processes, or outputs.
-
D.
hasHeritageBrand
chosen
Indicates that an entity is associated with or recognized as a long-established, traditional, or historically significant brand.
-
E.
hasTransportHistoryAs
Indicates that an entity has a record or log of being transported, characterized or classified in a specific way.
- F. None of above.
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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47f6c948190918ade08bb88f1fd |
completed | April 20, 2026, 6:15 a.m. |
| PD | Predicate disambiguation | batch_69e4a2e27e1481908a8da10b28f07875 |
completed | April 19, 2026, 9:39 a.m. |
Created at: April 10, 2026, 11:58 a.m.