Triple
T8756583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enoch Pratt |
E208085
|
entity |
| Predicate | genreOfCharity |
P3801
|
FINISHED |
| Object | education |
—
|
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: education | Statement: [Enoch Pratt, genreOfCharity, education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfCharity Context triple: [Enoch Pratt, genreOfCharity, education]
-
A.
genreOfPhilanthropy
chosen
Indicates the specific type or category of philanthropic activity to which an act, initiative, or organization belongs.
-
B.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
C.
genreOfInspiration
Indicates that one entity serves as the inspirational genre or stylistic source for the creation, style, or classification of another entity.
-
D.
genreOfCollection
Indicates that a specified genre categorizes or characterizes a particular collection.
-
E.
genreOfAwards
Indicates the type or category of awards associated with a given work, event, or entity.
- 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_69ca835cd6b08190bd7c63db92f53c86 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ddabdc88190ba50ef1833a815d0 |
completed | March 31, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69cc5c160dac8190b4aeb4bf0529de52 |
completed | March 31, 2026, 11:43 p.m. |
Created at: March 30, 2026, 6:40 p.m.