Triple
T5743266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Alfred Jones |
E126664
|
entity |
| Predicate | centralThemeOfArc |
P6627
|
FINISHED |
| Object | personal transformation |
—
|
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 transformation | Statement: [Dr. Alfred Jones, centralThemeOfArc, personal transformation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralThemeOfArc Context triple: [Dr. Alfred Jones, centralThemeOfArc, personal transformation]
-
A.
centralThemeConnection
Indicates a relationship where one element serves as the primary or unifying theme that conceptually links or organizes the other element(s).
-
B.
hasCentralTheme
chosen
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
-
C.
firstMajorStoryArc
Indicates that the related entity represents the initial or earliest major story arc associated with another narrative work or series.
-
D.
centralThemeContext
Indicates that one concept serves as the main thematic focus within the situational, narrative, or discourse context defined by another.
-
E.
majorThemeAssociation
Indicates that one entity is associated with another as a primary or central theme.
- 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_69c0083179548190b384b0bf3c08ca4d |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b52663c8190ab44258468d4296d |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021ca61688190875bd6107161c284 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:48 p.m.