Triple
T7747023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | April Kepner |
E175655
|
entity |
| Predicate | storylineElement |
P24126
|
FINISHED |
| Object | struggle with faith after personal tragedies |
—
|
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: struggle with faith after personal tragedies | Statement: [April Kepner, storylineElement, struggle with faith after personal tragedies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storylineElement Context triple: [April Kepner, storylineElement, struggle with faith after personal tragedies]
-
A.
storyElement
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
B.
storyline
chosen
Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
-
C.
storyFunction
Indicates that one entity serves a particular narrative role or function within the story structure of another entity.
-
D.
narrativeSequence
Indicates that one event or narrative element follows another in a temporal or logical storytelling order.
-
E.
storyBy
Indicates that one entity is the creator or author of the story associated with 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_69c69960b3588190a53aa590d31d9544 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
Created at: March 27, 2026, 4:08 p.m.