Triple
T29721712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M. 55 |
E752070
|
entity |
| Predicate | workTitleCatalogued |
P24259
|
FINISHED |
| Object | Gaspard de la nuit |
—
|
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: Gaspard de la nuit | Statement: [M. 55, workTitleCatalogued, Gaspard de la nuit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTitleCatalogued Context triple: [M. 55, workTitleCatalogued, Gaspard de la nuit]
-
A.
workTitle
chosen
Indicates the formal title or name of a work (such as a book, artwork, or composition) associated with an entity.
-
B.
workTitleWithOpus
Indicates that a work’s title is associated with a specific opus number designation.
-
C.
workTitleOriginal
Indicates that one entity is the original title or name under which a work was first created, published, or released.
-
D.
workTitleType
Indicates the specific category or type of a work’s title (e.g., main title, alternative title, translated title) in relation to that work.
-
E.
workFromWhichTitleDerived
Indicates that a title is derived from, or based on, a particular underlying work.
- 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_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 7:36 p.m.