Triple
T29721446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M.81 |
E752063
|
entity |
| Predicate | workNotability |
P168173
|
FINISHED |
| Object | one of Maurice Ravel’s most famous works |
—
|
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: one of Maurice Ravel’s most famous works | Statement: [M.81, workNotability, one of Maurice Ravel’s most famous works]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workNotability Context triple: [M.81, workNotability, one of Maurice Ravel’s most famous works]
-
A.
workOn
Indicates that an agent is actively engaged in performing tasks or making progress on a particular project, object, or assignment.
-
B.
notableWorker
Indicates that the subject is a worker who is distinguished or recognized for being particularly important, prominent, or exemplary in their work.
-
C.
notableWorkFocus
Indicates that a notable work primarily centers on, addresses, or is significantly concerned with a particular subject, theme, or area.
-
D.
workWithin
Indicates that one entity performs its activities or duties inside the boundaries, scope, or context defined by another entity.
-
E.
workWith
Indicates that one entity collaborates or engages in work-related activities together with another entity.
- F. None of above. chosen
Provenance (4 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 28, 2026, 7:36 p.m.