Triple
T15631310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Reed |
E375817
|
entity |
| Predicate | storyArcFocus |
P24126
|
FINISHED |
| Object | transition from lawyer to mediator |
—
|
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: transition from lawyer to mediator | Statement: [Kate Reed, storyArcFocus, transition from lawyer to mediator]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storyArcFocus Context triple: [Kate Reed, storyArcFocus, transition from lawyer to mediator]
-
A.
storyArcLength
Indicates the duration or extent of a narrative arc within a story, such as how long a particular plotline continues.
-
B.
storyline
chosen
Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
-
C.
notableStoryArc
Indicates that there exists a significant or prominent narrative storyline or plot development involving the subject.
-
D.
storyElement
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
E.
coreNarrative
Indicates the primary storyline or central sequence of events that forms the main thread 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04eb536348190b93ed3c178d1ffb8 |
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.