Triple
T14296300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suki Waterhouse |
E354446
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Sub Pop |
E136013
|
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: Sub Pop | Statement: [Suki Waterhouse, recordLabel, Sub Pop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sub Pop Context triple: [Suki Waterhouse, recordLabel, Sub Pop]
-
A.
Sub Pop
chosen
Sub Pop is a Seattle-based independent record label best known for popularizing the grunge movement by signing influential bands like Nirvana and Soundgarden.
-
B.
Sub Pop Records
Sub Pop Records is a renowned Seattle-based independent record label known for launching the grunge movement and releasing influential alternative and indie music.
-
C.
Echo Pop
Echo Pop is a compact, entry-level smart speaker in Amazon’s Echo lineup, featuring Alexa voice control in a small, colorful form factor.
-
D.
MuPop
MuPop is a French museum dedicated to the history and culture of popular music, showcasing instruments, recordings, and multimedia exhibits.
-
E.
PoP!
PoP! is the fictional 1980s pop duo fronted by Hugh Grant’s character in the romantic comedy film "Music and Lyrics."
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717b35ec81908968994e65737c66 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d246ccc81909e9fe8b4487dcc88 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:11 a.m.