Triple
T18806346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frances Welty |
E459883
|
entity |
| Predicate | reasonForVisit |
P129253
|
FINISHED |
| Object | seeking transformation at Tranquillum House |
—
|
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: seeking transformation at Tranquillum House | Statement: [Frances Welty, reasonForVisit, seeking transformation at Tranquillum House]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForVisit Context triple: [Frances Welty, reasonForVisit, seeking transformation at Tranquillum House]
-
A.
reasonForVisits
chosen
Indicates the underlying cause, purpose, or motivation that explains why a visit or set of visits occurred.
-
B.
reasonForAppointment
Indicates the underlying purpose or cause for which an appointment is scheduled or taking place.
-
C.
reasonForStay
Indicates the underlying cause, purpose, or circumstance that explains why an entity remains or is staying in a particular place or situation.
-
D.
reasonForWork
Indicates that one entity specifies the motivation, cause, or purpose behind another entity’s work or activity.
-
E.
reasonForUse
Indicates that one entity specifies the justification, purpose, or motivation for using another 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3d7f8d08190a3e02fab6dc40bb5 |
completed | April 20, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.