Triple
T6456581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Robert Herrick |
E142006
|
entity |
| Predicate | returnedToParish |
P70350
|
FINISHED |
| Object | 1662 |
—
|
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: 1662 | Statement: [Robert Herrick, returnedToParish, 1662]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnedToParish Context triple: [Robert Herrick, returnedToParish, 1662]
-
A.
returnedToChurch
chosen
Indicates that an entity who had previously left or stopped attending a church has come back and resumed participation there.
-
B.
returnedToFamilyHomeBy
Indicates that an entity has been brought or taken back to their family home by another specified entity.
-
C.
returnedFrom
Indicates that an entity has come back or been sent back from a specified source, location, or prior state.
-
D.
parish
Indicates that an entity is administratively or ecclesiastically associated with a particular parish.
-
E.
returnedVia
Indicates that something was sent back or responded to through a specified medium, channel, or method.
- 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_69c008d2f91c8190a8178767a35e08fc |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c069d639ec8190bb0a806da4118440 |
completed | March 22, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69c0673b44148190aed70084f0ff4992 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:48 p.m.