Triple
T38570145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parvati Wasatch |
E929241
|
entity |
| Predicate | hasFictionalEthos |
P202604
|
FINISHED |
| Object | New Age spirituality |
—
|
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: New Age spirituality | Statement: [Parvati Wasatch, hasFictionalEthos, New Age spirituality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalEthos Context triple: [Parvati Wasatch, hasFictionalEthos, New Age spirituality]
-
A.
hasFictionalGenreCharacteristic
Indicates that something possesses a specific characteristic or attribute related to a fictional genre.
-
B.
hasFictionalScope
Indicates that something pertains to, applies within, or is limited to a fictional or imagined context rather than real-world scope.
-
C.
hasFictionalType
Indicates that an entity is associated with or classified under a particular type or category that is fictional rather than real.
-
D.
hasFictionalContent
Indicates that something contains or includes material that is imaginary, invented, or not intended to represent real events or facts.
-
E.
hasFictionalPurpose
Indicates that something exists or is used primarily within a fictional context or narrative rather than for real-world practical purposes.
- 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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a009f53a4948190aef4ede1713e1748 |
completed | May 10, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_6a009edc53d4819080b22c1074a990f3 |
completed | May 10, 2026, 3:06 p.m. |
| PDg | Predicate description generation | batch_6a009f52ef9c8190be0e8ea2e2cd484f |
completed | May 10, 2026, 3:08 p.m. |
Created at: May 3, 2026, 4:32 p.m.