Triple
T20254185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valerie Somers |
E498639
|
entity |
| Predicate | storySignificance |
P26062
|
FINISHED |
| Object | major plot catalyst |
—
|
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: major plot catalyst | Statement: [Valerie Somers, storySignificance, major plot catalyst]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: storySignificance Context triple: [Valerie Somers, storySignificance, major plot catalyst]
-
A.
loreSignificance
Indicates that something holds notable importance, relevance, or impact within a fictional world’s backstory, mythology, or overarching narrative.
-
B.
narrativeImportance
chosen
Indicates the degree to which an entity or event is central, influential, or essential within the structure and progression of a narrative.
-
C.
reasonForSignificance
Indicates that one entity explains or justifies why another entity is important, notable, or significant.
-
D.
significance
Indicates that one entity holds particular importance, influence, or meaningful impact in relation to another entity or context.
-
E.
hasParticularSignificanceFor
Indicates that something holds a special, notable, or contextually important relevance or impact for a particular entity or situation.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673aa42348190852ae8313f4494ca |
completed | April 20, 2026, 6:42 p.m. |
| PD | Predicate disambiguation | batch_69e55b1b23f88190bdcbe2f81dd226dd |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:41 p.m.