Triple
T28779847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steventon Rectory |
E726644
|
entity |
| Predicate | JaneAustenAgeWhenLeft |
P166239
|
FINISHED |
| Object | 25 |
—
|
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: 25 | Statement: [Steventon Rectory, JaneAustenAgeWhenLeft, 25]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: JaneAustenAgeWhenLeft Context triple: [Steventon Rectory, JaneAustenAgeWhenLeft, 25]
-
A.
ageAtEpilogue
Indicates the age of an entity at the time of the epilogue of a narrative or event.
-
B.
authorDiedBeforeBroadcast
Indicates that the author's death occurred earlier in time than the broadcast of the related work or content.
-
C.
writtenByAtAge
Indicates that something was written by a particular entity when that entity was a specified age.
-
D.
approximateAgeAtDeath
Indicates the estimated age a person or entity was when they died, typically used when the exact age is unknown.
-
E.
dateOfAuthorDeathBeforePublication
Indicates that the author of a work died before that work was published.
- 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_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f66003a3f48190a2ba6da5aafbb5cb |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c2198208190a3954086c22cfcbf |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 6:19 a.m.