Triple
T25380468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I-and-I |
E631371
|
entity |
| Predicate | viewOfPerson |
P8789
|
FINISHED |
| Object | the person as both individual and part of a larger spiritual whole |
—
|
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: the person as both individual and part of a larger spiritual whole | Statement: [I-and-I, viewOfPerson, the person as both individual and part of a larger spiritual whole]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOfPerson Context triple: [I-and-I, viewOfPerson, the person as both individual and part of a larger spiritual whole]
-
A.
viewOnPerson
Indicates that one entity holds a particular opinion, perspective, or attitude toward another person.
-
B.
viewsPerson
Indicates that one person looks at, observes, or watches another person.
-
C.
viewIs
Indicates that one entity is a visual representation or perspective of another entity.
-
D.
perspectiveOf
chosen
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
E.
viewOfBody
Indicates a visual representation or perspective that shows the body or a specific part of the body.
- 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f627aedf548190bc9f53c8a2d67b50 |
completed | May 2, 2026, 4:34 p.m. |
| PD | Predicate disambiguation | batch_69f623a4e1048190bbb8dd1253fdcee9 |
completed | May 2, 2026, 4:17 p.m. |
Created at: April 21, 2026, 1:46 p.m.