Triple
T15623382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stay |
E375619
|
entity |
| Predicate | typicalNarrativeFocus |
P31266
|
FINISHED |
| Object | whetherCharacterLeavesOrRemains |
—
|
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: whetherCharacterLeavesOrRemains | Statement: [Stay, typicalNarrativeFocus, whetherCharacterLeavesOrRemains]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalNarrativeFocus Context triple: [Stay, typicalNarrativeFocus, whetherCharacterLeavesOrRemains]
-
A.
coreNarrative
Indicates the primary storyline or central sequence of events that forms the main thread of a narrative.
-
B.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
C.
narrativeFocusOfWork
chosen
Indicates that a particular element (such as a character, event, or theme) is the primary narrative focus or central subject of a given work.
-
D.
narrativeSubject
Indicates that an entity functions as the main subject or focal point within a narrative or story.
-
E.
narrativePurpose
Indicates the role or function that something serves within the structure or progression of a narrative.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9cfd94819091459aa17a002eaf |
completed | April 16, 2026, 2:51 a.m. |
| PD | Predicate disambiguation | batch_69deda868d4481908f4bce1c64d2902a |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:14 a.m.