Triple
T25227114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clotilde García del Castillo |
E632114
|
entity |
| Predicate | roleInWorksOf |
P129977
|
FINISHED |
| Object | subject of portraits by Joaquín Sorolla |
—
|
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: subject of portraits by Joaquín Sorolla | Statement: [Clotilde García del Castillo, roleInWorksOf, subject of portraits by Joaquín Sorolla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInWorksOf Context triple: [Clotilde García del Castillo, roleInWorksOf, subject of portraits by Joaquín Sorolla]
-
A.
notableWorkRole
Indicates that a person’s role or position is specifically associated with the creation, performance, or contribution to a notable work.
-
B.
authorOfWorkHeAppearsIn
Indicates that a person is the author of a work in which he himself appears as a character or subject.
-
C.
genreOfWorkCharacterIsIn
Indicates the specific genre of the creative work in which a given character appears.
-
D.
worksWithArtist
chosen
Indicates that one entity collaborates or engages in professional work with an artist.
-
E.
roleInActs
Indicates the specific function or character that an entity performs or portrays within one or more acts or performances.
- 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_69e75a8e0f688190a7aebe9a4815e25b |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f67c9fe7b48190b79b4041357edb49 |
completed | May 2, 2026, 10:37 p.m. |
| PD | Predicate disambiguation | batch_69f678cc272081909e5c70f1bc7407f0 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 21, 2026, 1:04 p.m.