Triple
T14552504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On and On |
E341452
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Enjoy Records |
E1107061
|
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: Enjoy Records | Statement: [On and On, recordLabel, Enjoy Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Enjoy Records Context triple: [On and On, recordLabel, Enjoy Records]
-
A.
Enjoy Records
chosen
Enjoy Records is an independent music label known for releasing singer-songwriter and acoustic-driven albums such as Jack Johnson’s debut, "Brushfire Fairytales."
-
B.
Saint Records
Saint Records is an independent record label founded by Solange Knowles to champion experimental R&B and underrepresented artists.
-
C.
Echo Records
Echo Records is a British independent record label known for releasing alternative and indie music in the late 1990s and early 2000s.
-
D.
Marc Records
Marc Records is a record label known for releasing music such as the album "Harlem Shuffle."
-
E.
Star Records
Star Records is a Philippine-based music label known for producing and distributing albums for popular Filipino and Filipino-American artists.
- 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_69d822db9c8481908213ceb39585f792 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb2ee34208190bf040a513767c958 |
completed | April 14, 2026, 9:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94afc95c8190ae4aff12c9d69c88 |
completed | May 8, 2026, 7:45 a.m. |
Created at: April 10, 2026, 1:23 a.m.