Triple
T15167323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natural Information Society |
E362386
|
entity |
| Predicate | hasVisualComponent |
P99801
|
FINISHED |
| Object | stage installations by Lisa Alvarado |
—
|
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: stage installations by Lisa Alvarado | Statement: [Natural Information Society, hasVisualComponent, stage installations by Lisa Alvarado]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisualComponent Context triple: [Natural Information Society, hasVisualComponent, stage installations by Lisa Alvarado]
-
A.
hasVisualFocus
Indicates that one entity is currently directing its visual attention or gaze toward another entity.
-
B.
hasVisualCharacter
chosen
Indicates that one entity possesses or exhibits a particular visual appearance, style, or graphical characteristic defined by another entity.
-
C.
hasVisualIndicator
Indicates that an entity is associated with some form of visual cue or marker that signals its status, condition, or presence.
-
D.
isNonVisual
Indicates that the subject lacks visual characteristics or is not intended to be perceived visually.
-
E.
hasView
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064c6244819085daf8e1eafdf3f2 |
completed | April 15, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69deb9779acc81908ed2dad382c42dca |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:08 a.m.