Triple
T28262505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Arreglito |
E712617
|
entity |
| Predicate | hasAlternativeSpellingOfComposerName |
P175646
|
FINISHED |
| Object | Sebastián Yradier |
—
|
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: Sebastián Yradier | Statement: [El Arreglito, hasAlternativeSpellingOfComposerName, Sebastián Yradier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternativeSpellingOfComposerName Context triple: [El Arreglito, hasAlternativeSpellingOfComposerName, Sebastián Yradier]
-
A.
realNameOfComposer
Indicates that the object is the actual, full real-world name of the composer referred to by the subject.
-
B.
hasMusicalAlias
Indicates that an entity is known or performs under an alternative musical name or stage name.
-
C.
hasMusicalComposer
Indicates that one entity serves as the musical composer responsible for creating the music associated with another entity.
-
D.
hasUnknownOriginalComposer
Indicates that the work’s original composer is not known or cannot be identified.
-
E.
favoriteComposer
Indicates that one entity is the preferred or most liked composer of 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_69efb5216c6881908020dce4aea65381 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26ceb08819091c71c001e954936 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: April 27, 2026, 11:12 p.m.