Triple
T11997728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catholic Boy |
E285572
|
entity |
| Predicate | associatedWithArtistOccupation |
P24742
|
FINISHED |
| Object | poet |
—
|
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: poet | Statement: [Catholic Boy, associatedWithArtistOccupation, poet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithArtistOccupation Context triple: [Catholic Boy, associatedWithArtistOccupation, poet]
-
A.
associatedWithPerformer
Indicates a relationship in which something (such as a work, event, or role) is connected or linked to a specific performer.
-
B.
artistOccupation
chosen
Indicates the professional role or job that an artist holds or performs.
-
C.
subjectRelationToArtist
Indicates the nature of the relationship or connection that the subject has to the artist.
-
D.
associatedWithArtistSeries
Indicates a relationship where something is connected or linked to a particular artist series.
-
E.
associatedWithArtistGroup
Indicates that an entity has a relationship or connection with a particular artist group or collective.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c172788190b92042e9d10a48bf |
completed | April 10, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69d902b245cc8190af96a9c2bd9c6250 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:46 p.m.