Triple
T7125798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ephraim Williams |
E166056
|
entity |
| Predicate | willBequest |
P75004
|
FINISHED |
| Object | funds and land for a free school in western Massachusetts |
—
|
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: funds and land for a free school in western Massachusetts | Statement: [Ephraim Williams, willBequest, funds and land for a free school in western Massachusetts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: willBequest Context triple: [Ephraim Williams, willBequest, funds and land for a free school in western Massachusetts]
-
A.
will
Indicates that an entity is going to perform an action or be in a certain state in the future.
-
B.
bequeathedBy
Indicates that something has been left or passed on to an entity through the will or inheritance of another entity.
-
C.
makesWill
Indicates that an entity creates or executes a legal will for another entity or for themselves.
-
D.
bequestLocation
Indicates the place or institution where a bequest is directed, stored, or intended to be received.
-
E.
notableBequest
Indicates that one entity is a significant or historically notable bequest, legacy, or inheritance made by another entity.
- 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_69c6888350588190870cd552b427a1cd |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e64d99888190a93c1822e19b5457 |
completed | March 27, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c7289881909f3b533c384f9ed4 |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e4a213508190a40aca39f9eee7d5 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:44 p.m.