Triple
T31491484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mendelssohn piano works |
E803416
|
entity |
| Predicate | containsFamousPieceGroup |
P200204
|
FINISHED |
| Object | Venetian Boat Songs |
—
|
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: Venetian Boat Songs | Statement: [Mendelssohn piano works, containsFamousPieceGroup, Venetian Boat Songs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsFamousPieceGroup Context triple: [Mendelssohn piano works, containsFamousPieceGroup, Venetian Boat Songs]
-
A.
containsSlowPieces
Indicates that the subject includes one or more components or segments that proceed at a slow pace.
-
B.
containsFamousConcerto
Indicates that one entity (such as a collection, album, or program) includes within it a well-known or widely recognized concerto.
-
C.
hasCompanionPiece
Indicates that one item is conceptually or functionally paired with another item as its companion piece.
-
D.
hasCompanionPieceType
Indicates that one item is associated with another as a companion piece of a specified type or role.
-
E.
isAmongComposerMostFamousPieces
Indicates that a musical work belongs to the set of pieces considered among a particular composer's most famous works.
- 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_69f348ca04508190ba9379b5329dfd75 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69ff7ae5d088819089aa3b6360b6b749 |
completed | May 9, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69ff7a4df6488190bf60d675b36b1d6d |
completed | May 9, 2026, 6:17 p.m. |
| PDg | Predicate description generation | batch_69ff7ae4bc948190a4cd21a60d091977 |
completed | May 9, 2026, 6:20 p.m. |
Created at: April 30, 2026, 9:38 p.m.