Triple
T26383971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Light My Candle |
E663223
|
entity |
| Predicate | musicalWorkCharacter |
P27644
|
FINISHED |
| Object | Mimi Márquez |
—
|
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: Mimi Márquez | Statement: [Light My Candle, musicalWorkCharacter, Mimi Márquez]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalWorkCharacter Context triple: [Light My Candle, musicalWorkCharacter, Mimi Márquez]
-
A.
musicalCharacter
chosen
Indicates that one entity is a character or role that appears within the other entity, which is a musical work or production.
-
B.
musicalRole
Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
-
C.
notableWorkCharacter
Indicates that a character appears in, is associated with, or plays a role in a particular notable work.
-
D.
characterInWorkWithLyricsBy
Indicates that a character appears in a creative work whose lyrics were written by a specified lyricist.
-
E.
sungByCharacter
Indicates that a song or musical piece is performed vocally by a specific character.
- 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_69ee88374adc81909868f3bab374a32f |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 26, 2026, 11:21 p.m.