Triple
T15373844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marchioness of Pembroke |
E367615
|
entity |
| Predicate | holderLaterReligion |
P23796
|
FINISHED |
| Object | associated with English Reformation |
—
|
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: associated with English Reformation | Statement: [Marchioness of Pembroke, holderLaterReligion, associated with English Reformation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: holderLaterReligion Context triple: [Marchioness of Pembroke, holderLaterReligion, associated with English Reformation]
-
A.
titleHolderLaterReligion
chosen
Indicates that the person holding a particular title at a later time follows a specified religion.
-
B.
religiousAffiliationLater
Indicates that an entity’s religious affiliation at a later time is the specified religion or organization.
-
C.
laterReligion
Indicates that one religion or religious affiliation chronologically follows or replaces another for the same entity.
-
D.
laterRevertedReligion
Indicates that an entity adopted a religion and then subsequently reverted or returned to a previous or different religious affiliation.
-
E.
hadMajorReligion
Indicates that a particular religion was the primary or dominant faith practiced within a given entity (such as a region, state, or population) during a specified period.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5d6f808190b0a4cdb35dc89e69 |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69ded27742a881909cd73cc5c7d062fd |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:18 a.m.