Triple
T17379885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DCX MMXVI World Tour |
E422536
|
entity |
| Predicate | hasMusicGroupType |
P55032
|
FINISHED |
| Object | all-female band |
—
|
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: all-female band | Statement: [DCX MMXVI World Tour, hasMusicGroupType, all-female band]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicGroupType Context triple: [DCX MMXVI World Tour, hasMusicGroupType, all-female band]
-
A.
hasMusicalEnsembleType
chosen
Indicates that an entity is associated with or classified as a particular type of musical ensemble.
-
B.
hasMusicalEnsembleGenre
Indicates that a musical ensemble is associated with or performs in a particular musical genre.
-
C.
musicGroupGenre
Indicates the musical genre or style that a particular music group is associated with or performs.
-
D.
hasMusicalArtistType
Indicates that an entity has a specific role or classification as a type of musical artist (e.g., solo artist, band, composer).
-
E.
hasMusicCategory
Indicates that something is associated with, classified under, or belongs to a particular category or type of music.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a8559748190844c506f6f9230d4 |
completed | April 19, 2026, 2:14 a.m. |
| PD | Predicate disambiguation | batch_69e3b02ac8688190a7182f1b2151d721 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:45 a.m.