Triple
T15373833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marchioness of Pembroke |
E367615
|
entity |
| Predicate | purposeOfGrant |
P118497
|
FINISHED |
| Object | to elevate Anne Boleyn’s status at court |
—
|
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: to elevate Anne Boleyn’s status at court | Statement: [Marchioness of Pembroke, purposeOfGrant, to elevate Anne Boleyn’s status at court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: purposeOfGrant Context triple: [Marchioness of Pembroke, purposeOfGrant, to elevate Anne Boleyn’s status at court]
-
A.
natureOfGrant
Indicates the specific type or character of a grant that defines what kind of granting relationship exists between the parties.
-
B.
additionalFundingPurpose
Indicates the specific reason or intended use for which additional funding is sought or allocated beyond the original amount.
-
C.
purposeOfFoundation
Indicates the reason or intended goal for which an organization, institution, or entity was originally established.
-
D.
awardPurpose
Indicates that an award is given with a specific intended purpose, goal, or use in mind.
-
E.
fundingObjective
Indicates the purpose or goal for which financial resources are being sought, allocated, or used.
- 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_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. |
| PDg | Predicate description generation | batch_69ded57005608190886cd01f640dfedb |
completed | April 15, 2026, 12:01 a.m. |
Created at: April 10, 2026, 3:18 a.m.