Triple
T695856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huckleberry Finn |
E13891
|
entity |
| Predicate | centralThemeInWork |
P7040
|
FINISHED |
| Object | moral development |
—
|
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: moral development | Statement: [Huckleberry Finn, centralThemeInWork, moral development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralThemeInWork Context triple: [Huckleberry Finn, centralThemeInWork, moral development]
-
A.
centralWork
Indicates that a particular work is the primary, most important, or focal work associated with an entity or context.
-
B.
hasCentralTheme
Indicates that one entity serves as the primary or dominant theme or subject matter of another entity.
-
C.
centralIn
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
-
D.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
E.
subjectOfWork
chosen
Indicates that one entity is the main topic, focus, or theme that a particular work (such as a book, article, or artwork) is about.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a0c5f51c8190acc4915099e4b384 |
completed | March 1, 2026, 8:25 p.m. |
| PD | Predicate disambiguation | batch_69a49d23e0a08190b08be9d1eff2a1bb |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.