Triple
T30223070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liberal Arts |
E768401
|
entity |
| Predicate | hasNostalgiaTheme |
P201828
|
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, hasNostalgiaTheme, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNostalgiaTheme Context triple: [Liberal Arts, hasNostalgiaTheme, true]
-
A.
hasEraTheme
Indicates that something is associated with, characterized by, or themed around a particular historical or cultural era.
-
B.
hasFamilyTheme
Indicates that something involves, centers on, or prominently features themes related to family relationships or family life.
-
C.
hasGhostTheme
Indicates that something features or is characterized by a ghost-related or supernatural theme.
-
D.
hasMuseumTheme
Indicates that something (such as a museum, exhibit, or collection) is characterized by or dedicated to a particular thematic focus.
-
E.
hasDoppelgangerTheme
Indicates that something features or involves a doppelganger-related theme, such as doubles, look-alikes, or mirrored identities.
- 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_6a0027e4a59481909417b2531daaf480 |
completed | May 10, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_6a0026a42bc08190ad3322ce625a523a |
completed | May 10, 2026, 6:33 a.m. |
| PDg | Predicate description generation | batch_6a0027e384d08190ad92a6a21c8f84b5 |
completed | May 10, 2026, 6:38 a.m. |
Created at: April 29, 2026, 7:35 p.m.