Triple
T16646741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belle and Sebastian |
E404488
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Merge Records |
E205824
|
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: Merge Records | Statement: [Belle and Sebastian, recordLabel, Merge Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merge Records Context triple: [Belle and Sebastian, recordLabel, Merge Records]
-
A.
Merge Records
chosen
Merge Records is an independent American record label known for releasing influential indie rock and alternative music from artists such as Conor Oberst, Arcade Fire, and Neutral Milk Hotel.
-
B.
Merge
"Merge" is a song by the experimental rock band Horn of Plenty.
-
C.
Combine
Combine is Apple’s declarative reactive programming framework for handling asynchronous events and data streams in Swift applications.
-
D.
Combine
The Combine is a vast, multidimensional alien empire in the Half-Life series that conquers and exploits entire worlds, serving as the primary oppressive force against which humanity struggles.
-
E.
Combine
Combine is a type of artwork, pioneered by Robert Rauschenberg, that merges painting and sculpture by incorporating everyday objects and materials into the painted surface.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ad66fe88190be582b81719f2ac1 |
completed | April 18, 2026, 12:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084c0e37c819080161d522069aa1d |
completed | May 10, 2026, 1:14 p.m. |
Created at: April 10, 2026, 5:18 a.m.