Triple
T1921950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arcade Fire |
E40141
|
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: [Arcade Fire, recordLabel, Merge Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merge Records Context triple: [Arcade Fire, 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.
Combine
Combine is Apple’s declarative reactive programming framework for handling asynchronous events and data streams in Swift applications.
-
C.
Fieldlink
Fieldlink was an early digital payments and security startup co-founded by Max Levchin that later evolved into the company behind PayPal.
-
D.
Unified Data Repository
The Unified Data Repository (UDR) is a central 5G Core network function that stores and manages subscriber, policy, and application data for use by other core components.
-
E.
DB Records
DB Records is a Nigerian music label founded by and associated with Afrobeats star D'banj.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb233011881908736523d36f01b0c |
completed | March 7, 2026, 5:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3e458e8819098ea1c2d5598f890 |
completed | March 8, 2026, 10:10 p.m. |
Created at: March 4, 2026, 7:35 p.m.