Triple
T26845151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missa Mille Regretz |
E675894
|
entity |
| Predicate | originalChansonTitle |
P108532
|
FINISHED |
| Object | Mille regretz |
—
|
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: Mille regretz | Statement: [Missa Mille Regretz, originalChansonTitle, Mille regretz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalChansonTitle Context triple: [Missa Mille Regretz, originalChansonTitle, Mille regretz]
-
A.
originalSong
Indicates that one entity is the source or initial version of a song from which another entity (such as a cover, remix, or adaptation) is derived.
-
B.
isTitleCharacterOfSong
Indicates that a character is mentioned in or constitutes the title of a specific song.
-
C.
hasSongTitle
Indicates that an entity (such as a song or musical work) bears or is associated with a specific song title.
-
D.
originallyTitleOf
Indicates that one title is the original title from which another work, edition, or localized title is derived.
-
E.
originalTitleName
chosen
Indicates that one entity is the original or primary title name associated with another entity.
- 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_69eee9b8d5e88190a07d3455c0fbb21f |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: April 27, 2026, 5:11 a.m.