Triple
T5997046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Thayil |
E133496
|
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: [Kim Thayil, recordLabel, Sub Pop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sub Pop Context triple: [Kim Thayil, 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.
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.
-
C.
Pulp
Pulp is an open source content management and distribution platform that lets users organize, publish, and manage software packages and repositories at scale.
-
D.
Nova Wav
Nova Wav is a Grammy-winning American songwriting and production duo known for crafting R&B and pop hits for major artists like Beyoncé.
-
E.
The Buds
The Buds is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise based in Toronto, Ontario.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04e963f3c819082dd755e328ab947 |
completed | March 22, 2026, 8:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c10876d4d0819083ac7431c8abaedd |
completed | March 23, 2026, 9:31 a.m. |
Created at: March 22, 2026, 4:05 p.m.