Triple
T16002724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loud Tour |
E388133
|
entity |
| Predicate | associatedMusicLabel |
P34608
|
FINISHED |
| Object | SRP Records |
E388128
|
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: SRP Records | Statement: [Loud Tour, associatedMusicLabel, SRP Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SRP Records Context triple: [Loud Tour, associatedMusicLabel, SRP Records]
-
A.
SRP Records
chosen
SRP Records is a music record label known for discovering and developing recording artists under the broader Umbrella Music Group.
-
B.
SRP
SRP is a core object-oriented design principle stating that a class or module should have only one reason to change, promoting cohesion and maintainability.
-
C.
SRP
SRP is a major public utility in Arizona that provides electricity and water to the Phoenix metropolitan area.
-
D.
SRP
SRP (Stream Reservation Protocol) is an IEEE 802.1 Audio Video Bridging (AVB) protocol that enables end-to-end reservation of network resources to guarantee quality of service for time-sensitive audio and video streams over Ethernet.
-
E.
S Records
S Records is a music record label associated with releasing work by the artist Thankful.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1828e9e708190aec0078913bf098a |
completed | April 17, 2026, 12:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbca65a4819090109589dba7f7a9 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:55 a.m.