Triple
T21429885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Speak Your Mind |
E528655
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Ciao Adios (Acoustic) |
—
|
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: Ciao Adios (Acoustic) | Statement: [Speak Your Mind, hasTrack, Ciao Adios (Acoustic)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ciao Adios (Acoustic) Context triple: [Speak Your Mind, hasTrack, Ciao Adios (Acoustic)]
-
A.
Adios
"Adios" is a song featured on Linda Ronstadt's 1989 album *Cry Like a Rainstorm, Howl Like the Wind*.
-
B.
Ciao Adios
chosen
"Ciao Adios" is a 2017 pop breakup song by English singer Anne-Marie, known for its catchy chorus and themes of infidelity and empowerment.
-
C.
Au Revoir (Adios)
"Au Revoir (Adios)" is a song by American indie rock band The Front Bottoms, known for its confessional lyrics and energetic, emo-influenced sound.
-
D.
Adiós muchachos
Adiós muchachos is a memoir by Nicaraguan writer and former revolutionary Sergio Ramírez reflecting on the Sandinista revolution and its aftermath.
-
E.
"Si Te Vas"
"Si Te Vas" is a popular Spanish-language song by Cuban-American singer Jon Secada, known for its romantic themes and Latin pop style.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813ef6a8819089511b8f608c9491 |
completed | April 26, 2026, 9:18 p.m. |
Created at: April 16, 2026, 5:49 p.m.