Triple
T12399865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equestrian Portrait of the Count-Duke of Olivares |
E296221
|
entity |
| Predicate | mainSubjectRole |
P14496
|
FINISHED |
| Object | royal favorite of Philip IV of Spain |
—
|
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: royal favorite of Philip IV of Spain | Statement: [Equestrian Portrait of the Count-Duke of Olivares, mainSubjectRole, royal favorite of Philip IV of Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainSubjectRole Context triple: [Equestrian Portrait of the Count-Duke of Olivares, mainSubjectRole, royal favorite of Philip IV of Spain]
-
A.
subjectCanBe
Indicates that the subject has the potential or capability to assume, become, or be classified as the specified object or state.
-
B.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
C.
hasMainRole
chosen
Indicates that an entity holds the primary or most significant role in relation to another entity or context.
-
D.
primaryParticipant
Indicates that an entity plays the main or most central role in a given event, activity, or relationship.
-
E.
primaryUsersRole
Indicates the role that a primary user holds in relation to a given resource, system, or context.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69dadcd4cb008190af99c4856e76ac08 |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d93ed4cea08190ad374d3f6a798053 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:55 p.m.