Triple
T21151329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baroque orchestra |
E521195
|
entity |
| Predicate | oftenTunesTo |
P143073
|
FINISHED |
| Object | A415 |
—
|
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: A415 | Statement: [Baroque orchestra, oftenTunesTo, A415]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenTunesTo Context triple: [Baroque orchestra, oftenTunesTo, A415]
-
A.
tunesFor
Indicates a relationship where one entity selects or adjusts something (such as a device, channel, or setting) specifically for the use or benefit of another entity.
-
B.
musicMotif
Indicates a recurring musical idea, theme, or pattern that appears multiple times within a composition or across related works.
-
C.
notableTune
Indicates that a tune is especially significant, well-known, or characteristic in relation to a particular entity.
-
D.
commonlySungTune
Indicates that a particular tune is frequently used as the melody for singing a given piece (such as lyrics, a song, or text).
-
E.
typicallyHears
Indicates that one entity is the kind of thing that normally or characteristically hears another entity.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e72401830c8190a2008c40c4174d97 |
completed | April 21, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69e5f5f8a5bc819081918c7fa8e4496d |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5f993240c8190847c0b08e65726c8 |
completed | April 20, 2026, 10:01 a.m. |
Created at: April 16, 2026, 2:58 p.m.