Triple
T29028390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballades, Op. 10 |
E737657
|
entity |
| Predicate | thirdBalladeTitle |
P33752
|
FINISHED |
| Object |
Ballade in B minor
"Ballade in B minor" is the third of Johannes Brahms's Four Ballades, Op. 10, a Romantic-era piano piece noted for its lyrical melancholy and dramatic contrasts.
|
E1848197
|
NE FINISHED |
How this triple was built (3 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: Ballade in B minor | Statement: [Ballades, Op. 10, thirdBalladeTitle, Ballade in B minor]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ballade in B minor Triple: [Ballades, Op. 10, thirdBalladeTitle, Ballade in B minor]
Generated description
"Ballade in B minor" is the third of Johannes Brahms's Four Ballades, Op. 10, a Romantic-era piano piece noted for its lyrical melancholy and dramatic contrasts.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdBalladeTitle Context triple: [Ballades, Op. 10, thirdBalladeTitle, Ballade in B minor]
-
A.
lastBalladeComposed
Indicates that one entity is the most recent ballade composed by another entity.
-
B.
thirdPartTitle
chosen
Indicates that an entity holds the title or designation of the third part in a sequence, series, or multipart structure.
-
C.
thirdPlaceSong
Indicates that a song holds or is assigned the third-place position in a ranking, contest, or ordered list.
-
D.
thirdEssayTitle
Indicates that the specified string is the title of the third essay associated with the given entity.
-
E.
thirdEpistleTitle
Indicates that an entity is the title of a third epistle (third letter) associated with another entity.
- F. None of above.
Provenance (6 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f727afd5d88190ad48735cd1b32787 |
completed | May 3, 2026, 10:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a251f695ca481908026b9ea02c85ca7 |
completed | June 7, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a2523b0c0c88190a727ea6cd5397cf4 |
completed | June 7, 2026, 7:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a252859f9a48190ba90cb0e5ada581c |
completed | June 7, 2026, 8:14 a.m. |
| PD | Predicate disambiguation | batch_69f72737c42c8190a3f781a5e98868ff |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 28, 2026, 9:54 a.m.