Triple
T13735693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digi Snacks |
E329938
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Good Night |
E464757
|
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: Good Night | Statement: [Digi Snacks, hasTrack, Good Night]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Good Night Context triple: [Digi Snacks, hasTrack, Good Night]
-
A.
Good Night
chosen
"Good Night" is a gentle, orchestral lullaby sung by Ringo Starr that closes The Beatles’ self-titled 1968 "White Album."
-
B.
Goodnight
"Goodnight" is a track from PJ Harvey's acclaimed 1993 album "Rid of Me," known for its stark, emotionally raw sound.
-
C.
Goodnight
Goodnight is a small rural locality within the Murray River region of New South Wales, Australia.
-
D.
Gute Nacht
"Gute Nacht" is the somber, wandering first song of Franz Schubert’s song cycle *Winterreise*, setting Wilhelm Müller’s poetry to music.
-
E.
Good Good Night
"Good Good Night" is a hip hop party anthem by American rapper Roscoe Dash, known for its catchy hook and club-oriented production.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de020351fc8190a554a48c552e83b5 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d68da04819089c95d9bfedc7496 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.