Triple
T5392560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greensward Plan |
E120366
|
entity |
| Predicate | creatorRoleOf |
P19360
|
FINISHED |
| Object | Frederick Law Olmsted as landscape architect |
—
|
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: Frederick Law Olmsted as landscape architect | Statement: [Greensward Plan, creatorRoleOf, Frederick Law Olmsted as landscape architect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creatorRoleOf Context triple: [Greensward Plan, creatorRoleOf, Frederick Law Olmsted as landscape architect]
-
A.
creatorType
Indicates the role or category of a creator in relation to the creation of something (e.g., author, artist, director).
-
B.
creatorOccupation
Indicates the professional role or job that the creator of an entity holds or held.
-
C.
creatorField
Indicates that one entity is recorded as the creator or originator of another entity within a specific field or context.
-
D.
creatorOfCharacter
Indicates that one entity is the originator or author who created or conceived the other entity as a character.
-
E.
creativeRole
chosen
Indicates that an entity holds a specific creative function or responsibility in relation to another entity, such as a work or project.
- 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd8719ff04819089e3a90f90b5e3fc |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd8463a9c88190bd760378f3026180 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.