Triple
T6004447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W. Duke, Sons & Co. |
E133675
|
entity |
| Predicate | roleInAmericanTobaccoCompany |
P68659
|
FINISHED |
| Object | core predecessor |
—
|
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: core predecessor | Statement: [W. Duke, Sons & Co., roleInAmericanTobaccoCompany, core predecessor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInAmericanTobaccoCompany Context triple: [W. Duke, Sons & Co., roleInAmericanTobaccoCompany, core predecessor]
-
A.
roleInvolves
Indicates that a particular role includes or requires participation in a specified activity, responsibility, or function.
-
B.
roleInGang
Indicates that an entity holds a specific position or function within a gang organization.
-
C.
hasProductionRole
Indicates that an entity holds a specific role or function in the production or creation process of another entity.
-
D.
roleInColonies
Indicates the specific function, position, or responsibility an entity holds within one or more colonies.
-
E.
roleInBankOfNorthAmerica
Indicates that an entity holds or held a specific role or position within the Bank of North America.
- F. None of above. chosen
Provenance (4 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f10d18081908c351170b7f58d3d |
completed | March 22, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c049e3316c819087ea635fa7ee8472 |
completed | March 22, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69c04e8c5bfc8190b986a7071d1b23e3 |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:06 p.m.