Triple
T25143283
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara (The Big Leap) |
E629862
|
entity |
| Predicate | majorThemeInArc |
P102764
|
FINISHED |
| Object | personal reinvention |
—
|
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: personal reinvention | Statement: [Sara (The Big Leap), majorThemeInArc, personal reinvention]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorThemeInArc Context triple: [Sara (The Big Leap), majorThemeInArc, personal reinvention]
-
A.
majorThemeAssociation
Indicates that one entity is associated with another as a primary or central theme.
-
B.
themeInArc
chosen
Indicates that something serves as a central theme or recurring subject within a particular narrative arc.
-
C.
firstMajorStoryArc
Indicates that the related entity represents the initial or earliest major story arc associated with another narrative work or series.
-
D.
notableArc
Indicates a significant or defining narrative development, transformation, or storyline involving the related entities.
-
E.
primaryStoryThemes
Indicates the main recurring ideas or motifs that characterize and unify a story’s narrative.
- 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_69e2ff349e408190a6f4a5a66279f54d |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 18, 2026, 6:29 a.m.