Triple
T36047432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir Thomas Cookes of Norgrove |
E1042711
|
entity |
| Predicate | madeEndowmentTo |
P930
|
FINISHED |
| Object | Worcester College, Oxford |
—
|
NE NERFINISHED |
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: Worcester College, Oxford | Statement: [Sir Thomas Cookes of Norgrove, madeEndowmentTo, Worcester College, Oxford]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: madeEndowmentTo Context triple: [Sir Thomas Cookes of Norgrove, madeEndowmentTo, Worcester College, Oxford]
-
A.
endowment
chosen
Indicates that a resource, asset, or benefit is provided or allocated to an entity, typically as a lasting or dedicated funding source.
-
B.
philanthropicDonation
Indicates that one entity voluntarily gives money, goods, or services to another entity for charitable or public-benefit purposes without expecting direct compensation.
-
C.
endowmentAmount
Indicates the specific monetary value or quantity provided as an endowment in the relationship.
-
D.
donationResultedIn
Indicates that a donation directly caused or brought about a particular outcome or consequence.
-
E.
donatedWith
Indicates that an entity made a donation using, accompanied by, or in association with a particular method, item, or context.
- 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_69f76e2e41f8819091f9fb0536920fec |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:07 p.m.