Triple
T19630350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ratapoil |
E471248
|
entity |
| Predicate | firstCreatorOccupation |
P60589
|
FINISHED |
| Object | caricaturist |
—
|
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: caricaturist | Statement: [Ratapoil, firstCreatorOccupation, caricaturist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCreatorOccupation Context triple: [Ratapoil, firstCreatorOccupation, caricaturist]
-
A.
creatorOccupation
Indicates the professional role or job that the creator of an entity holds or held.
-
B.
originalHolderOccupation
Indicates the occupation or professional role held by the entity that originally possessed or owned another entity.
-
C.
visionaryOccupation
Indicates that an entity holds an occupation or role characterized by forward-thinking, innovative, or visionary activities or responsibilities.
-
D.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
-
E.
earliestMajorOccupation
chosen
Indicates the earliest significant occupation or professional role held by an entity in its life or career timeline.
- 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_69d8e511f28481909f4bc3ea9191e54a |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641025d708190aa44bb24671b9455 |
completed | April 20, 2026, 3:06 p.m. |
| PD | Predicate disambiguation | batch_69e514e5cb108190ae260e466c447314 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.