Triple
T18292170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I and Thou |
E438143
|
entity |
| Predicate | centralDistinction |
P3450
|
FINISHED |
| Object | I–Thou vs I–It |
—
|
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: I–Thou vs I–It | Statement: [I and Thou, centralDistinction, I–Thou vs I–It]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: centralDistinction Context triple: [I and Thou, centralDistinction, I–Thou vs I–It]
-
A.
distinction
chosen
Indicates that one entity is recognized, treated, or classified as different or separate from another.
-
B.
centralIn
Indicates that one entity occupies a central or most important position within another entity, context, or structure.
-
C.
centralQuality
Indicates that a particular quality or attribute is the primary, defining, or most important characteristic within a given context or entity.
-
D.
centralExample
Indicates that one entity serves as the primary or most representative example of another entity or concept.
-
E.
centralConflictIn
Indicates that one situation, issue, or opposition serves as the primary source of tension or struggle within another context, such as a story, event, or scenario.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e501000bd881909ae64ab64219bef6 |
completed | April 19, 2026, 4:21 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.