Triple
T9679750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everyday Life |
E234249
|
entity |
| Predicate | track |
P17929
|
FINISHED |
| Object | Arabesque |
E813353
|
NE 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: Arabesque | Statement: [Everyday Life, track, Arabesque]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arabesque Context triple: [Everyday Life, track, Arabesque]
-
A.
Arabesque
"Arabesque" is a 1966 romantic spy thriller film starring Sophia Loren and Gregory Peck, known for its stylish visuals and intricate espionage plot.
-
B.
Arabesque
chosen
"Arabesque" is a song best known as the lead single from the album *Everyday Life* by the British rock band Coldplay.
-
C.
Arabesque No. 1
Arabesque No. 1 is a lyrical and impressionistic piano piece by Claude Debussy, celebrated for its flowing arpeggios and delicate, dreamlike character.
-
D.
Pirouette
Pirouette is a rolled, crispy wafer cookie filled with sweet flavored cream, produced by Pepperidge Farm.
-
E.
Le ballet
"Le ballet" is a popular French pop ballad by Canadian singer Céline Dion, featured on her 1995 album "D'eux," the best-selling French-language album of all time.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9c586c8190abc0ab1771bf6c5c |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190fd1ad48190980e7bc3245046dc |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:16 p.m.