Triple
T12901713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vidiians |
E308625
|
entity |
| Predicate | themeInSeries |
P81008
|
FINISHED |
| Object | exploration of medical ethics |
—
|
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: exploration of medical ethics | Statement: [Vidiians, themeInSeries, exploration of medical ethics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: themeInSeries Context triple: [Vidiians, themeInSeries, exploration of medical ethics]
-
A.
inSeriesTheme
chosen
Indicates that one entity serves as the thematic subject or focus within a particular series.
-
B.
themeFor
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
C.
themeInArc
Indicates that something serves as a central theme or recurring subject within a particular narrative arc.
-
D.
theme
Indicates the entity that is the primary participant or content affected or characterized by an action, event, or state.
-
E.
segmentTheme
Indicates that a particular theme or topic is associated with, or characterizes, a specific segment of content or data.
- 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_69d7bdf7c1f0819098102569a8d8cbf5 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971820e008190bf8bc7c392c8bcbb |
completed | April 10, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69d96fa776648190b9b5c30722ea50b6 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:40 p.m.