Triple
T7825918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In a Grove |
E181243
|
entity |
| Predicate | modeOfTelling |
P79220
|
FINISHED |
| Object | testimonies to a magistrate |
—
|
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: testimonies to a magistrate | Statement: [In a Grove, modeOfTelling, testimonies to a magistrate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modeOfTelling Context triple: [In a Grove, modeOfTelling, testimonies to a magistrate]
-
A.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
B.
narrativeStrategy
Indicates the method or approach used to structure, present, or convey a story or sequence of events.
-
C.
narrativeStyle
Indicates how a narrative is told, such as the point of view, tone, and structural approach used to present a story or account.
-
D.
narrativeFormat
Indicates the specific structural or stylistic form in which a narrative is presented or expressed.
-
E.
narrativeTradition
Indicates the storytelling customs, conventions, or patterns that shape how narratives are typically told within a particular culture, group, or context.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04a6185481908462079bd2827642 |
completed | March 30, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69cae91ae008819098e56bbe51143b31 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:43 p.m.