Triple
T17837156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love |
E445418
|
entity |
| Predicate | releasedAlbum |
P25507
|
FINISHED |
| Object | Da Capo |
—
|
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: Da Capo | Statement: [Love, releasedAlbum, Da Capo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Da Capo Context triple: [Love, releasedAlbum, Da Capo]
-
A.
Da Capo
chosen
Da Capo is a Japanese visual novel and romance game series known for its branching storylines and emotional character-driven narratives.
-
B.
Capo
Capo is the stage name of Jim Jones, an American rapper and music executive known for his role in the hip-hop collective The Diplomats (Dipset).
-
C.
Capo
Capo is a historic district in Palermo, Italy, renowned for its traditional street market and narrow, bustling alleys.
-
D.
La Musica
La Musica is the allegorical personification of Music who delivers the prologue in Claudio Monteverdi’s early Baroque opera *L’Orfeo*.
-
E.
De Música
De Música is a renowned abstract sculpture by Spanish Basque artist Eduardo Chillida, celebrated for its exploration of space, form, and rhythm reminiscent of musical composition.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d28c14881909033abd09bbdb135 |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:16 a.m.