Triple
T32476128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Declaration of Egregious Popish Impostures |
E829979
|
entity |
| Predicate | religiousStanceOfAuthor |
P36791
|
FINISHED |
| Object | anti-Catholic |
—
|
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: anti-Catholic | Statement: [A Declaration of Egregious Popish Impostures, religiousStanceOfAuthor, anti-Catholic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousStanceOfAuthor Context triple: [A Declaration of Egregious Popish Impostures, religiousStanceOfAuthor, anti-Catholic]
-
A.
authorsReligion
Indicates the religious affiliation or belief system associated with an author.
-
B.
religiousAttitude
chosen
Indicates an entity’s stance, disposition, or orientation toward religion or religious beliefs.
-
C.
religiousPerspectiveOfCompiler
Indicates the religious viewpoint or affiliation held by the person who compiled or authored a given work.
-
D.
religiousTextStatus
Indicates the status or role that a text holds within a religious tradition, such as whether it is considered sacred, canonical, apocryphal, or otherwise classified.
-
E.
positionInReligion
Indicates the specific role, rank, or office an entity holds within a religious organization or tradition.
- 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_69f3491ff3b48190b50a7fa00bb05b1f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fef3ceef648190b58027c93d757438 |
completed | May 9, 2026, 8:43 a.m. |
| PD | Predicate disambiguation | batch_69fef359da2c819091a034387b08821f |
completed | May 9, 2026, 8:42 a.m. |
Created at: May 1, 2026, 12:58 a.m.