Triple
T18952186
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | relational aesthetics |
E463681
|
entity |
| Predicate | treatsAsMedium |
P35187
|
FINISHED |
| Object | human relations |
—
|
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: human relations | Statement: [relational aesthetics, treatsAsMedium, human relations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatsAsMedium Context triple: [relational aesthetics, treatsAsMedium, human relations]
-
A.
isFromMedium
Indicates that something originates from, is derived from, or was obtained via a particular medium or channel.
-
B.
representsMedium
chosen
Indicates that one entity serves as the medium, channel, or means through which another entity is expressed, communicated, or realized.
-
C.
stratotypeMedium
Indicates the type of material or medium (e.g., rock, sediment) that serves as the reference standard for a stratigraphic unit or stratotype.
-
D.
canonicalMedium
Indicates the primary or standard medium through which something is most authoritatively or typically expressed, distributed, or experienced.
-
E.
basedOnMedium
Indicates that one entity is derived from, adapted from, or created using another entity as its source medium or foundational material.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d54385e08190903a054681352d11 |
completed | April 20, 2026, 7:26 a.m. |
| PD | Predicate disambiguation | batch_69e4a2efec5c8190840704016bf547a1 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, noon