Triple
T30575116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir William Pynsent, 1st Baronet |
E778222
|
entity |
| Predicate | taxOpposedByBenefactor |
P169866
|
FINISHED |
| Object | cider tax |
—
|
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: cider tax | Statement: [Sir William Pynsent, 1st Baronet, taxOpposedByBenefactor, cider tax]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: taxOpposedByBenefactor Context triple: [Sir William Pynsent, 1st Baronet, taxOpposedByBenefactor, cider tax]
-
A.
opposedTaxType
Indicates that one entity is against, resists, or disagrees with a particular type or category of tax associated with another entity.
-
B.
benefactor
Indicates that one entity provides help, support, or resources to another, typically in a generous or supportive role.
-
C.
opposedBy
Indicates that one entity actively resists, disagrees with, or works against the actions, views, or position of another entity.
-
D.
philanthropicBeneficiary
Indicates that one entity is the recipient or target of another entity’s philanthropic giving or charitable support.
-
E.
beneficiaryContribution
Indicates that one party provides a contribution, support, or resources that benefit another designated beneficiary.
- 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6893cedbc8190af12752ccae5e062 |
completed | May 2, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f67e42d6688190b60e91d2c388c555 |
completed | May 2, 2026, 10:44 p.m. |
| PDg | Predicate description generation | batch_69f6827a7b9c8190ab13605aacc81df9 |
completed | May 2, 2026, 11:02 p.m. |
Created at: April 29, 2026, 8:22 p.m.