Triple
T1063765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seuss Landing |
E22963
|
entity |
| Predicate | designedToLookLike |
P1529
|
FINISHED |
| Object | hand-drawn Dr. Seuss illustrations |
—
|
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: hand-drawn Dr. Seuss illustrations | Statement: [Seuss Landing, designedToLookLike, hand-drawn Dr. Seuss illustrations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedToLookLike Context triple: [Seuss Landing, designedToLookLike, hand-drawn Dr. Seuss illustrations]
-
A.
isDesignedAs
Indicates that something has been intentionally created or configured to serve as or function in the role of something else.
-
B.
isDesignedFor
Indicates that one entity has been created, planned, or optimized specifically to serve the needs, purposes, or use of another entity.
-
C.
hasDesign
chosen
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
D.
disguisedAs
Indicates that one entity is intentionally presenting itself as, or made to appear as, another entity in order to conceal its true identity.
-
E.
designedIn
Indicates that something was created, planned, or conceived during a particular time period or at a specific location.
- 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_69a493dada0481909c43649f9843ea91 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8f85cc08190ae03ac6c84936cc5 |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b7359eb881909c868a558861cc18 |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.