Triple
T24683871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desocupación de la esfera |
E611224
|
entity |
| Predicate | authorOfTheoreticalContext |
P42610
|
FINISHED |
| Object | Jorge Oteiza |
—
|
NE NERFINISHED |
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: Jorge Oteiza | Statement: [Desocupación de la esfera, authorOfTheoreticalContext, Jorge Oteiza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorOfTheoreticalContext Context triple: [Desocupación de la esfera, authorOfTheoreticalContext, Jorge Oteiza]
-
A.
theoreticalTextAuthor
chosen
Indicates that one entity is the author or creator of a theoretical or conceptual text associated with the other entity.
-
B.
languageOfTheoreticalContext
Indicates the language in which the theoretical framework or conceptual context of something is expressed or formulated.
-
C.
theoryCoAuthor
Indicates that two or more entities jointly authored or contributed to the development of the same theory.
-
D.
theoreticalTradition
Indicates that one entity belongs to, is framed within, or is analyzed according to the theoretical tradition represented by the other entity.
-
E.
notableTheorist
Indicates that the subject is recognized as a significant or influential theorist in relation to the object or specified field.
- 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 3:16 a.m.