Triple
T10246339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar Symphony |
E240221
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Fall |
E240229
|
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: Fall | Statement: [Sugar Symphony, hasTrack, Fall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fall Context triple: [Sugar Symphony, hasTrack, Fall]
-
A.
Fall
Fall is the surname of American rapper and basketball player Sheck Wes, known for his breakout hit "Mo Bamba."
-
B.
Fall
chosen
"Fall" is a song by the American R&B duo Chloe x Halle, showcasing their soulful harmonies and introspective songwriting.
-
C.
Fall
"Fall" is a globally popular Afrobeats song by Nigerian artist Davido, known for its catchy melody and significant international chart success.
-
D.
Autumn
"Autumn" is a brief, imagist-style poem by T. E. Hulme that vividly captures the mood and atmosphere of the fall season through precise, concrete imagery.
-
E.
Autumn
Autumn is a 2016 novel by Ali Smith, often described as a post-Brexit meditation on time, art, and friendship, and the first book in her acclaimed seasonal quartet.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22cfe1c8190afae178e11a59b8b |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71cbd67648190ba7faebd12d96ca9 |
completed | April 9, 2026, 3:27 a.m. |
Created at: April 6, 2026, 11:26 a.m.