Triple
T17785176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meret Oppenheim Prize |
E443998
|
entity |
| Predicate | fieldOfNamedAfter |
P128908
|
FINISHED |
| Object | surrealism |
—
|
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: surrealism | Statement: [Meret Oppenheim Prize, fieldOfNamedAfter, surrealism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfNamedAfter Context triple: [Meret Oppenheim Prize, fieldOfNamedAfter, surrealism]
-
A.
hasPlaceNamedAfter
Indicates that one place is named in honor of or derived from the name of another place.
-
B.
hasNamedAfterPerson
Indicates that one entity is named in honor of, or derived from the name of, a specific person.
-
C.
historicallyNamedAfter
Indicates that one entity received its name from another entity at some point in the past.
-
D.
isNamedForPersonFrom
Indicates that an entity is named after a person who originates from a specified place or region.
-
E.
ethnicEponymOf
Indicates that one term is an eponym derived from or naming an ethnic group or people.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48792b1c48190836141cfc6656cdd |
completed | April 19, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:12 a.m.