Triple
T34043074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forever Blue |
E873002
|
entity |
| Predicate | hasTypeOfMusician |
P143203
|
FINISHED |
| Object | pianist |
—
|
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: pianist | Statement: [Forever Blue, hasTypeOfMusician, pianist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfMusician Context triple: [Forever Blue, hasTypeOfMusician, pianist]
-
A.
hasMusicalArtistType
Indicates that an entity has a specific role or classification as a type of musical artist (e.g., solo artist, band, composer).
-
B.
hasMusicSpecialism
chosen
Indicates that an entity has a particular area of specialization or focus within the field of music.
-
C.
hasMusicalWorkType
Indicates that a musical work is associated with a specific type or category of musical composition.
-
D.
hasMusicCategory
Indicates that something is associated with, classified under, or belongs to a particular category or type of music.
-
E.
typeOfMusicProfessional
Indicates the specific professional role or occupation someone holds within the field 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_69f349a3363081909cea4c9a848cefe2 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff1e3e13c08190bb8990c44716b746 |
completed | May 9, 2026, 11:45 a.m. |
| PD | Predicate disambiguation | batch_69ff1dfcaf2c8190aaf2b428d57b7782 |
completed | May 9, 2026, 11:43 a.m. |
Created at: May 1, 2026, 1:51 a.m.