Triple
T37885507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waltz in A-flat major Op. 34 No. 1 |
E944983
|
entity |
| Predicate | precedesInSet |
P114484
|
FINISHED |
| Object | Waltz in F major Op. 34 No. 3 |
—
|
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: Waltz in F major Op. 34 No. 3 | Statement: [Waltz in A-flat major Op. 34 No. 1, precedesInSet, Waltz in F major Op. 34 No. 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precedesInSet Context triple: [Waltz in A-flat major Op. 34 No. 1, precedesInSet, Waltz in F major Op. 34 No. 3]
-
A.
precedentSet
Indicates that one event, decision, or case establishes a guiding example or standard that influences how subsequent similar situations are judged or handled.
-
B.
precededByInPosition
Indicates that one entity occurs or appears immediately before another entity in a specific ordered position or sequence.
-
C.
precededByInGroup
chosen
Indicates that one entity comes before another in the ordered sequence within the same group or collection.
-
D.
precedesInStability
Indicates that one entity is more stable than another, coming earlier in an ordering based on stability.
-
E.
precedesFeature
Indicates that one feature occurs, is implemented, or is introduced before another feature in a defined sequence or timeline.
- 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fe163a41a0819098403b470e327d29 |
completed | May 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fe1358db5c819092570814a37ef5bd |
completed | May 8, 2026, 4:46 p.m. |
Created at: May 3, 2026, 4:19 p.m.