Triple
T30223069
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberal Arts |
E768401
|
entity |
| Predicate | hasComingOfAgeTheme |
P203076
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Liberal Arts, hasComingOfAgeTheme, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasComingOfAgeTheme Context triple: [Liberal Arts, hasComingOfAgeTheme, true]
-
A.
hasFamilyTheme
Indicates that something involves, centers on, or prominently features themes related to family relationships or family life.
-
B.
cameOfAge
Indicates that an entity reached the age or stage of maturity at which it is considered an adult or fully responsible.
-
C.
hasSayingTheme
Indicates that a saying, proverb, or quoted expression is about or centers on a particular theme or subject.
-
D.
hasFestivalTheme
Indicates that something is associated with, characterized by, or designed around a particular festival-related theme.
-
E.
hasSuperpowersTheme
Indicates that the subject involves, features, or centers around the theme of characters possessing superhuman abilities or powers.
- F. None of above. chosen
Provenance (4 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_69f2247fd8b8819087fcf83cb7a05eb8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a011d76f3f88190be3d7c9eb0552f34 |
completed | May 11, 2026, 12:06 a.m. |
| PD | Predicate disambiguation | batch_6a011cce684881909dd15776bb77a6e0 |
completed | May 11, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_6a011d764d108190b4a6f35595ddd9d4 |
completed | May 11, 2026, 12:06 a.m. |
Created at: April 29, 2026, 7:35 p.m.