Triple
T3889282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izzy |
E88018
|
entity |
| Predicate | designMedium |
P51658
|
FINISHED |
| Object | computer animation |
—
|
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: computer animation | Statement: [Izzy, designMedium, computer animation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designMedium Context triple: [Izzy, designMedium, computer animation]
-
A.
designUse
Indicates that one entity is used as a design basis, purpose, or intended functional use for another entity.
-
B.
designsFor
Indicates that one entity creates or plans something specifically intended to serve, suit, or be used by another entity.
-
C.
designTrend
Indicates a prevailing or emerging stylistic direction or pattern that influences how something is designed over a period of time.
-
D.
designBureau
Indicates that an entity functions as a design bureau responsible for planning, developing, or engineering designs for another entity or project.
-
E.
designIntent
Indicates the underlying purpose, rationale, or functional goal that guided the creation or configuration of something.
- F. None of above. chosen
Provenance (4 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecaee7148190ada451ccfc6582ee |
completed | March 9, 2026, 3:52 p.m. |
| PD | Predicate disambiguation | batch_69aee759609c8190985e96ec6d96dedd |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee80858a481909961a33fb50ff8d1 |
completed | March 9, 2026, 3:32 p.m. |
Created at: March 9, 2026, 3:21 p.m.