Triple
T31305064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Act I (The Nutcracker) |
E798313
|
entity |
| Predicate | containsMusicNumber |
P115418
|
FINISHED |
| Object | Overture |
—
|
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: Overture | Statement: [Act I (The Nutcracker), containsMusicNumber, Overture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsMusicNumber Context triple: [Act I (The Nutcracker), containsMusicNumber, Overture]
-
A.
hasMusicalNumberIn
chosen
Indicates that a musical number (song or performance) appears within or is featured in a specific work, scene, or production.
-
B.
hasMusicalNumberOrder
Indicates the sequential position of a musical number within a larger performance or work.
-
C.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
D.
numberOfSongs
Indicates the quantity of songs associated with a given entity.
-
E.
musicElement
Indicates a relationship where something functions as a component or structural unit within a piece of music or musical composition.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff6ef0d61c81909162d37c15a1a3c3 |
completed | May 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ff6c6a58e08190921317062cd9d489 |
completed | May 9, 2026, 5:18 p.m. |
Created at: April 29, 2026, 9:14 p.m.