Triple
T29722189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M.52 |
E752085
|
entity |
| Predicate | distinguishesFromOtherWorksBy |
P88138
|
FINISHED |
| Object | Maurice Ravel |
—
|
NE NERFINISHED |
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: Maurice Ravel | Statement: [M.52, distinguishesFromOtherWorksBy, Maurice Ravel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distinguishesFromOtherWorksBy Context triple: [M.52, distinguishesFromOtherWorksBy, Maurice Ravel]
-
A.
differsFromOtherWorksByAuthor
chosen
Indicates that a particular work by an author is distinct in some meaningful way from their other works.
-
B.
originalWorkBy
Indicates that one entity is the creator or originator of another entity (such as a work, idea, or product).
-
C.
hasAuthorOfOtherWork
Indicates that an entity is the author of another distinct work associated with the first entity.
-
D.
distinctionFromOtherCategories
Indicates that something is differentiated or set apart from other categories, emphasizing its unique or non-overlapping classification.
-
E.
distinctionFromOtherAwards
Indicates that one award is explicitly differentiated from or contrasted with other awards.
- 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_69f0d628c00c8190ab5ee7e423d7ec3c |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f68a16debc8190a12f5f65ced055d7 |
completed | May 2, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69f6860def1c81909d79e1f088c4b5e5 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 28, 2026, 7:37 p.m.