Triple
T35570708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Amsterdam Medical Center |
E1027925
|
entity |
| Predicate | focusesOnNarrativeTheme |
P192877
|
FINISHED |
| Object | healthcare reform |
—
|
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: healthcare reform | Statement: [New Amsterdam Medical Center, focusesOnNarrativeTheme, healthcare reform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnNarrativeTheme Context triple: [New Amsterdam Medical Center, focusesOnNarrativeTheme, healthcare reform]
-
A.
narrativeThemeOfWork
Indicates that one concept or motif functions as a central narrative theme within a particular creative work.
-
B.
narrativeFocusOfWork
Indicates that a particular element (such as a character, event, or theme) is the primary narrative focus or central subject of a given work.
-
C.
narrativeThemeInvolvement
Indicates that an entity participates in or contributes to a particular narrative theme within a story or discourse.
-
D.
primaryStoryThemes
Indicates the main recurring ideas or motifs that characterize and unify a story’s narrative.
-
E.
narrativelyCenteredIn
Indicates that an event, character, or element is positioned as the primary focus or organizing center of a narrative within a given context.
- 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_69f76e0386688190b931bacdc145938c |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
| PDg | Predicate description generation | batch_69fd2cf29f808190856ab1d43a51d5c7 |
completed | May 8, 2026, 12:23 a.m. |
Created at: May 3, 2026, 4:04 p.m.