Triple
T1545287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Googie architecture |
E32962
|
entity |
| Predicate | perceptionHistory |
P17784
|
FINISHED |
| Object | once considered kitsch |
—
|
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: once considered kitsch | Statement: [Googie architecture, perceptionHistory, once considered kitsch]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perceptionHistory Context triple: [Googie architecture, perceptionHistory, once considered kitsch]
-
A.
laterPerception
Indicates that one entity’s perception, awareness, or observation of something occurs after another specified time, event, or perception.
-
B.
publicPerception
chosen
Indicates how an individual, group, or entity is viewed, judged, or regarded by the general public or society at large.
-
C.
hasPerception
Indicates that one entity is aware of, senses, or recognizes another entity or phenomenon.
-
D.
viewedHistoryAs
Indicates that one entity has examined or interpreted another entity as a historical record or in the context of its past events.
-
E.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa574094048190a2d7fc3ac904d51e |
completed | March 6, 2026, 4:25 a.m. |
| PD | Predicate disambiguation | batch_69a907b426dc8190975c024a50955368 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.