Triple
T38212523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holly Berenson |
E1010587
|
entity |
| Predicate | mainSettingOfStory |
P190297
|
FINISHED |
| Object | Atlanta, Georgia |
—
|
NE NERFINISHED |
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: Atlanta, Georgia | Statement: [Holly Berenson, mainSettingOfStory, Atlanta, Georgia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSettingOfStory Context triple: [Holly Berenson, mainSettingOfStory, Atlanta, Georgia]
-
A.
storyElement
Indicates that one entity functions as a narrative component or part within the structure of another entity’s story.
-
B.
coreNarrative
Indicates the primary storyline or central sequence of events that forms the main thread of a narrative.
-
C.
storyline
Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
-
D.
storyFunction
Indicates that one entity serves a particular narrative role or function within the story structure of another entity.
-
E.
primaryStoryThemes
Indicates the main recurring ideas or motifs that characterize and unify a story’s narrative.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
| PDg | Predicate description generation | batch_69fcc42b9334819099929649b7ef68ea |
completed | May 7, 2026, 4:56 p.m. |
Created at: May 3, 2026, 4:30 p.m.