Triple
T8674333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Disney Book |
E205875
|
entity |
| Predicate | primaryArtistOccupation |
P50979
|
FINISHED |
| Object | classical pianist |
—
|
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: classical pianist | Statement: [The Disney Book, primaryArtistOccupation, classical pianist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryArtistOccupation Context triple: [The Disney Book, primaryArtistOccupation, classical pianist]
-
A.
artistOccupation
Indicates the professional role or job that an artist holds or performs.
-
B.
hasMainPerformerOccupation
chosen
Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
-
C.
primaryArtist
Indicates that an entity is the main or lead artist responsible for a creative work, as opposed to supporting or contributing artists.
-
D.
genreOfOccupation
Indicates the specific genre or category that characterizes a particular occupation or professional role.
-
E.
authorOccupation
Indicates the professional role or job that an author holds or is associated with.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae6d19c8190be003f7901c0468d |
completed | March 31, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69cc4567b5c881908d9ec5dcfc783fac |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:31 p.m.