Triple
T36408240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. David Sandström |
E896804
|
entity |
| Predicate | themeOfStories |
P76865
|
FINISHED |
| Object | public health crises |
—
|
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: public health crises | Statement: [Dr. David Sandström, themeOfStories, public health crises]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeOfStories Context triple: [Dr. David Sandström, themeOfStories, public health crises]
-
A.
primaryStoryThemes
Indicates the main recurring ideas or motifs that characterize and unify a story’s narrative.
-
B.
fictionalTheme
Indicates that a work, element, or context is centered around or characterized by a fictional theme or motif.
-
C.
hasThemeInStory
chosen
Indicates that a particular theme is present or plays a significant role within a given story.
-
D.
theme
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
-
E.
themeExplores
Indicates that a work, action, or discourse centrally examines, investigates, or delves into a particular theme or subject.
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:10 p.m.