Triple
T20333708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Love (band) |
E492548
|
entity |
| Predicate | notableWork |
P4
|
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 (band), notableWork, Da Capo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Da Capo Context triple: [Love (band), notableWork, Da Capo]
-
A.
Da Capo
Da Capo is a Japanese visual novel and romance game series known for its branching storylines and emotional character-driven narratives.
-
B.
Da Capo
chosen
Da Capo is a 1967 studio album by Arthur Lee’s band Love, noted for its blend of psychedelic rock and baroque pop and for paving the way to their classic album Forever Changes.
-
C.
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).
-
D.
Capo
Capo is a historic district in Palermo, Italy, renowned for its traditional street market and narrow, bustling alleys.
-
E.
La Musica
La Musica is the allegorical personification of Music who delivers the prologue in Claudio Monteverdi’s early Baroque opera *L’Orfeo*.
- 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_69e0b4a1a09881908d97270d6971a25a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e94e2481908898e0a3513e1209 |
completed | April 20, 2026, 7 p.m. |
Created at: April 16, 2026, 11:23 a.m.